CN112036741A - Shale gas drilling engineering intelligent scheduling method and system - Google Patents
Shale gas drilling engineering intelligent scheduling method and system Download PDFInfo
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Abstract
The invention provides an intelligent scheduling method for shale gas drilling engineering, which comprises the steps of constructing a main element model for acquiring basic data of the drilling engineering and a guarantee element model for acquiring basic data of a water circuit according to the characteristics of the shale gas drilling engineering, and presetting a drilling frame plan comprising the number of drilled wells, the number of production wells and newly-built productivity as a target; firstly, a drilling implementation sequence is worked out by a main prime model according to acquired drilling engineering basic data through a tracking deduction algorithm and matched with a drilling machine to form an initial drilling operation plan; and then the guarantee element model performs supply and demand balance judgment, feasibility judgment and feedback of a preset target on the initial drilling operation plan through a dynamic planning algorithm according to the acquired water circuit infrastructure data, and continuously converges result data through multi-step iterative tuning so that the iterative tuning result meets the supply and demand balance and the set target, and finally forms an executable fixed drilling engineering operation plan, thereby realizing intelligent scheduling of the drilling engineering.
Description
Technical Field
The invention relates to the technical field of engineering intelligent scheduling, in particular to an intelligent scheduling method and an intelligent scheduling system for a shale gas drilling engineering.
Background
With the development of conventional oil and gas fields, petroleum resources are continuously exhausted, and more energy is put into the development of compact oil and shale gas in the international society. The shale gas exploration and development unit mainly works in the capacity construction stage to undertake shale gas exploration and development tasks of construction land, pre-drilling engineering, drilling, fracturing, implementation plan allocation of production and process management; and is projected to scale shale gas production rapidly in the coming years. Along with the development of the scale production of shale gas wells, the scheduling workload of drilling rigs is increased year by year, and the intelligent scheduling of drilling engineering becomes a business development trend. The shale gas drilling engineering is a system engineering comprising main services such as drilling, well completion and the like and supporting services such as water supply, power supply, roads and the like, the production and operation process relates to 9 specialties, the cross operation and the coordination of more than 23 links are realized, and the steps are related and the loops are buckled.
However, in the existing shale gas exploration and development process, the traditional manual distribution, analysis and summarization modes are mainly adopted, so that the efficiency is low; and because often according to the manual adjustment of needs, the linkage is relatively poor and leads to the error rate relatively higher, does not form a perfect production database simultaneously, brings many adverse factors to the summary analysis of data report. With the continuous speed increase of the productivity construction of business bodies, the drilling trial workload is continuously increased, how to ensure the reasonable formulation of a plurality of drilling plans and how to construct a multi-business cooperative organization by taking a drilling task as the core productivity is always a problem which troubles people.
Disclosure of Invention
The invention provides an intelligent scheduling method for shale gas drilling engineering, which aims at overcoming the defects that the prior art can not ensure the reasonable formulation of a multi-port drilling plan and the cooperative processing of drilling services, and aims at starting from the actual operation management needs of shale gas field drilling engineering, calculating an initial drilling engineering operation plan through a drilling engineering main element model, judging and feeding back the drilling engineering operation plan by combining a guarantee element model of a water circuit, and finally forming a fixed-version drilling engineering operation plan with performability through continuous iterative tuning, thereby ensuring the cooperative processing of the multi-port drilling services and finally realizing the intelligent scheduling of the drilling engineering.
The invention discloses an intelligent scheduling method for shale gas drilling engineering, which adopts the following specific technical scheme:
an intelligent scheduling method for shale gas drilling engineering is characterized in that a main prime model for collecting basic data of the drilling engineering and a guarantee element model for collecting basic data of a water circuit are constructed according to characteristics of the shale gas drilling engineering, and drilling frame plans comprising the number of drilled wells, the number of production wells and newly-built productivity are preset as targets; firstly, a drilling implementation sequence is worked out by a main prime model according to acquired drilling engineering basic data through a tracking deduction algorithm and matched with a drilling machine to form an original drilling engineering operation plan; judging and feeding back an original drilling engineering operation plan by the guarantee element model according to the acquired water circuit infrastructure data through a dynamic programming algorithm, judging whether a single well which does not meet supply and demand conditions exists or not and predicting whether a preset target can be realized or not; and when a single well which does not meet the supply and demand conditions exists or the preset target can not be realized through prediction, returning to the main element model and the guarantee element model to modify the basic data corresponding to the main elements and/or the guarantee elements of the well which does not meet the conditions to form a modified drilling engineering operation plan, adjusting and continuously converging result data through multi-step iteration to enable the iteration adjustment result to meet the supply and demand balance and the set target, and finally forming a fixed-version drilling engineering operation plan with performability, thereby realizing the intelligent scheduling of the drilling engineering.
The drilling engineering basic data and the water circuit infrastructure data related in the shale gas drilling engineering intelligent scheduling method specifically comprise the following contents:
1. the basic data of the drilling engineering comprise platform basic data, well basic data, drilling machine basic data and drilling parameters;
the platform basic data includes: platform number, platform name;
the well basic data includes: well number, well name, well type, well position, platform to which the well belongs, actual grouping number of the well and sequence of the wells in the same group;
③ said drilling rig basic data, comprising: basic attributes of the drilling machine, production capacity of the drilling machine and the number of the drilling machines;
wherein the basic properties of the drilling machine comprise: rig company, rig capability type;
the rig capacity, comprising: the capacity of the drilling machine is numbered, and the capacity value of the drilling machine is numbered;
fourthly, the drilling parameters comprise: setting parameters, drilling machine parameters, drilling starting parameters and drilling finishing parameters;
wherein the safety parameters include: the same group has the number of days of peace again, and the different group has the number of days of peace again;
the drilling machine parameters comprise: a carry-in period and a carry-out period;
the drilling parameters comprise: the drilling time of the upper section of the well, the drilling time of the lower section of the well and the drill starting delay period of the lower drilling machine are determined;
the drilling completion parameters comprise: completion cycle, open scrub/well time;
2. the water circuit infrastructure data comprises pre-drilling platform data, water supply data, power supply data and road data;
the pre-drilling platform data includes: installing time for a platform before drilling;
the water supply data includes: temporary water supply points, temporary and permanent planned water supply times, platforms involved in temporary and permanent water supply, daily water supply capacity of the platforms for temporary and permanent water supply, water supply line names;
③ the power supply data comprises: the method comprises the following steps of (1) temporary power supply points, temporary and transformer substation planned power supply time, platforms related to temporary and permanent power supply, daily power supply capacity of the temporary and transformer substations and power supply line names;
the road data comprises: the system comprises road basic data, associated data of corresponding relations between roads and platforms, road plan commissioning time and road breakpoint maintenance time.
Further, the main element model works out a drilling implementation sequence according to the acquired drilling engineering basic data through a tracking deduction algorithm and matches with a drilling machine to form an initial drilling engineering operation plan, specifically: acquiring shale gas well engineering basic data comprising platform basic data, well basic data, drilling machine basic data and drilling parameters, and establishing a main element model according to a shale gas drilling engineering business process; and then, automatically matching the basic well data with the basic drilling machine data according to a drilling machine matching rule, arranging the drilling machines and grouping wells, arranging the drilling project progress according to the main element model, and forming an initial drilling project operation plan for predicting the implementation progress of the drilling project.
The initial version of the drilling engineering operation plan, the modified drilling engineering operation plan and the fixed version of the drilling engineering operation plan are drilling frame plans of different versions, the contents of the drilling engineering operation plan comprise deduced installation time, drilling starting time, drilling finishing time, well completion time, drilling machine moving-away starting time and drilling machine moving-out time which are related to a platform number and a well number, and the contents of the drilling engineering operation plan further comprise predicted drilling quantity, production well number and new construction capacity.
Further, the determining and feeding back of the initial drilling engineering operation plan by the guarantee element model according to the collected water circuit infrastructure data through a dynamic programming algorithm specifically comprises: the contents of demand analysis, basic information maintenance, supply capacity analysis and supply and demand balance judgment.
The demand analysis includes single well demand analysis and platform demand analysis.
Analyzing the single well requirement, namely analyzing the required time of a platform before drilling of the single well, the water required time and quantity of the single well, the power required time and quantity of the single well and the required road time of the single well by an original drilling engineering operation plan;
the specific analysis method is as follows:
acquiring drilling time, drilling opening time, drilling completion time, drilling machine moving-out time and drilling machine moving-out time from an initial drilling engineering operation plan;
(1) enabling the required time of the single-well drilling front platform to be consistent with the drilling time to obtain the required time of the single-well drilling front platform;
(2) enabling the single-well water-demand starting time to be consistent with the drilling starting time, enabling the single-well water-demand ending time to be consistent with the drilling finishing time, and calculating the single-well water-demand time according to the difference value of the single-well water-demand starting time and the single-well water-demand ending time; the daily water demand of a single well adopts the default value of the system or is modified and set by management personnel;
(3) enabling the single-well power demand starting time to be consistent with the drilling time, enabling the single-well power demand ending time to be consistent with the drilling completion time, and calculating the single-well power demand time according to the difference value of the single-well power demand starting time and the single-well power demand ending time; the daily power supply load of a single well adopts the default value of the system or is modified and set by a manager; the drilling machines used in the shale gas field well project are divided into a diesel drilling machine and an electric drilling machine, the diesel drilling machine does not need electricity to drive, and the electricity demand analysis mainly aims at the electric drilling machine to carry out demand analysis; for example: the power of the ZJ50 type electric drilling machine is 2000KW by default, and the power of the ZJ70 type electric drilling machine is 2500KW by default;
(4) the single-well required road starting time is consistent with the drilling machine moving-away starting time, the single-well required road ending time is consistent with the drilling machine moving-out time, and the single-well required road time is calculated according to the difference value of the single-well required road starting time and the single-well required road ending time. The method comprises the following steps that the required road time of a single well in the whole shale gas field well project is divided into two sections, wherein one section is the required road time of the drilling machine from the time when the drilling machine starts to move away to the time when the drilling machine moves away, and the other section is the ending time from the preparation time of fracturing to the end of fracturing; but fracturing is not considered in the drilling engineering, and the use requirement of a drilling machine for carrying a road is mainly considered.
Secondly, analyzing the platform demand, and calculating the platform demand time before drilling, the platform water demand time and amount, the platform power demand time and amount and the platform demand road time through the demand time of a platform before drilling, the single well water demand time and amount, the single well power demand time and amount and the single well demand road time corresponding to the single well related to the platform;
the specific analysis method is as follows:
(1) taking the required time of the single-well pre-drilling platform with the earliest time in the platforms as the required time of the pre-drilling platform;
(2) the single-well water-demand starting time with the earliest time in the platform is used as the platform water-demand starting time, the single-well water-demand ending time with the latest time in the platform is used as the platform water-demand ending time, and the platform water-demand time is calculated according to the difference value of the platform water-demand starting time and the platform water-demand ending time; taking the total daily water demand of all single wells related to the platform as the daily water demand of the platform;
(3) taking the single-well power demand starting time with the earliest time in the platform as the platform power demand starting time, taking the single-well power demand ending time with the latest time in the platform as the platform power demand ending time, and calculating the platform power demand time according to the difference value of the platform power demand starting time and the platform power demand ending time; the total of the daily power supply loads of the single wells of all the single wells related to the platform is used as the daily power supply load of the platform;
(4) the method comprises the steps of taking the starting time of a single-well demand road with the earliest time in a platform as the starting time of the platform demand road, taking the ending time of the single-well demand road with the latest time in the platform as the ending time of the platform demand road, and calculating the platform demand road time according to the difference value of the starting time of the platform demand road and the ending time of the platform demand road.
Thirdly, maintaining the basic information, which is mainly used for maintaining the basic information of pre-drilling engineering, water supply engineering, power supply engineering and road construction;
(1) basic information maintenance of the pre-drilling engineering, which mainly maintains platforms related to the pre-drilling engineering project and completion time of the pre-drilling platforms;
(2) basic information maintenance of water supply engineering, which mainly comprises maintaining a water supply pipeline and relating to a platform, and supplying water time and water supply amount to the platform;
(3) basic information maintenance of power supply engineering, which mainly comprises maintaining a power supply line related to a platform, and supplying power time and power supply load to the platform;
(4) basic information maintenance of road construction mainly aims at maintaining platforms and road smooth time related to roads and eliminating road maintenance influence.
Analyzing the supply capacity, and determining platforms, supply time and supply quantity related to the four aspects of pre-drilling engineering, water supply engineering, power supply engineering and road construction through basic information maintenance, wherein the method specifically comprises the following steps: platform supply time before drilling, platform water supply time and quantity, platform power supply time and quantity, and platform passage passing time.
And fifthly, performing platform-by-platform supply and demand balance judgment on four aspects of pre-drilling engineering, water supply engineering, power supply engineering and road construction through a dynamic planning algorithm based on the guarantee element model and the acquired water circuit infrastructure data.
Here, the specific content of the platform-by-platform supply and demand balance judgment includes supply and demand balance judgment of a pre-drilling project, supply and demand balance judgment of a water supply project, supply and demand balance judgment of a power supply project, and supply and demand balance judgment of road construction.
Further, the multi-step iterative tuning is mainly used for adjusting the number of drilling machines, the number of drilling wells, the drilling period and the parameter of the handling period in the main prime model and/or the influence factors of temporary water supply points, temporary power supply points, road maintenance plans and the mounting time of the platform tool before drilling in the guarantee elements.
Further, the intelligent scheduling method for the shale gas drilling engineering specifically comprises the following steps:
step S1: constructing a main element model for acquiring basic data of drilling engineering and a guarantee element model for acquiring basic data of a water circuit;
step S2: leading in a drilling frame plan which is preset to comprise the drilling number, the production well number and the newly built capacity as a target;
step S3: the main element model works out a drilling implementation sequence according to the acquired basic data of the drilling engineering through a tracking deduction algorithm and matches with a drilling machine to form an initial drilling engineering operation plan;
step S4: judging and feeding back an original drilling engineering operation plan by the guarantee element model according to the acquired water circuit infrastructure data through a dynamic programming algorithm, judging whether a single well which does not meet supply and demand conditions exists or not and predicting whether a preset target can be realized or not;
step S5: and (3) feedback of a judgment result:
if the single well which does not meet the supply and demand conditions exists or the preset target cannot be achieved through prediction, executing the step S6;
if the single well which does not meet the supply and demand conditions does not exist and the preset target can be achieved in the prediction mode, executing the step S8;
step S6: returning to the main element model and the guarantee element model to modify and optimize any one or more data of the number of drilling machines, the number of drilling wells, the drilling period, the moving and installing period, the temporary water supply point, the temporary power supply point, the road maintenance plan and the installation time of the platform tool before drilling for the wells which do not meet the conditions;
step S7: inputting the tuning result in the step S5 into the step S3, and circularly performing the steps S3, S4 and S5 until no single well which does not meet the supply and demand conditions exists and the tuning result can be predicted to achieve the preset target;
step S8: and forming a well drilling frame plan with executable fixed version, displaying and/or outputting.
The invention also provides an intelligent scheduling system for the shale gas drilling engineering, which is provided with a main element model and a guarantee element model; the main element model is used for arranging the drilling progress by combining the characteristics of the drilling service and automatically matching the drilling machines in the drilling machine library with the planned well numbers of the drilling; the guarantee element model is used for carrying out supply and demand balance judgment by combining the water supply capacity, the power supply capacity, the road traffic capacity, the pre-drilling tool installation and other guarantee element states; therefore, whether the drilling progress fed back and arranged according to the supply and demand balance judgment result meets the supply capacity of the target and the hydropower road or not and how to adjust the parameters in the main element model and/or ensure the parameters in the element model to enable the adjusted drilling engineering operation plan to meet the set target on the premise of meeting the supply capacity of the hydropower road are/is ensured.
The invention discloses an intelligent scheduling system for shale gas drilling engineering, which adopts the following specific technical scheme:
an intelligent scheduling system for shale gas drilling engineering comprises a main element model, a guarantee element model, an early warning result fast feedback module and a multi-step iteration adjusting and optimizing module;
the main prime model receives a preset drilling frame plan and drilling engineering basic data, and then sequentially performs drilling plan number extraction, well natural attribute analysis, drilling machine position grouping, drilling priority matching rule setting, drilling parameter model combination, drilling machine scheduling, drilling machine production capacity analysis, drilling operation dynamic data acquisition, tracking deduction and initial drilling engineering operation plan formulation;
the guarantee element model receives the initial drilling engineering operation plan output by the main element model for demand analysis and performs supply capacity analysis on the acquired water circuit infrastructure data; then, combining the demand analysis result and the supply capacity analysis result, carrying out supply and demand balance judgment on the wells one by factors, marking each single well as a well meeting the demand or a well meeting the demand in a delayed manner or a well not meeting the demand according to the supply and demand balance state of each single well, and counting the number of wells meeting the demand, the number of wells meeting the demand in a delayed manner and the number of wells not meeting the demand to obtain single well balance data;
the early warning result fast feedback module is used for importing single well balance data from the guarantee element model, carrying out grading judgment on the single well balance data according to an early warning strategy, and labeling different judgment results with different colors for grading display; then, making an adjusted drilling engineering operation plan according to the judgment result;
the multi-step iteration adjusting and optimizing module inputs the adjusted drilling engineering operation plan from the early warning result quick feedback module, obtains the adjusted predicted drilling quantity, the number of production wells and the newly-built capacity, compares the adjusted predicted drilling quantity, the number of production wells and the newly-built capacity with a preset drilling frame plan, and judges whether the frame plan is met: if the drilling plan meets the requirement, the adjusted drilling engineering operation plan is used as a well drilling engineering operation plan with fixed version, and a result is output; and if not, performing iterative optimization on the main element model and/or the guarantee element model until the adjusted drilling engineering operation plan meets the drilling framework plan.
In summary, due to the adoption of the technical scheme, the invention has the following beneficial effects.
(1) The invention provides an intelligent scheduling method for shale gas drilling engineering, which starts from the actual operation management needs of shale gas field drilling engineering, calculates an initial drilling engineering operation plan through a drilling engineering main element model, judges and feeds back the drilling engineering operation plan by combining a water circuit guarantee element model, and finally forms a fixed version drilling engineering operation plan with performability through continuous iterative optimization, thereby ensuring the cooperative processing of a plurality of drilling services and finally realizing the intelligent scheduling of the drilling engineering.
(2) The intelligent scheduling method for the shale gas drilling engineering, provided by the invention, has better timeliness, accuracy and economy.
(3) The invention provides an intelligent scheduling system for shale gas drilling engineering, which is provided with a main element model and a guarantee element model; the main element model is used for arranging the drilling progress by combining the characteristics of the drilling service and automatically matching the drilling machines in the drilling machine library with the planned well numbers of the drilling; the guarantee element model is used for carrying out supply and demand balance judgment by combining the water supply capacity, the power supply capacity, the road traffic capacity, the pre-drilling tool installation and other guarantee element states; therefore, whether the drilling progress fed back and arranged according to the supply and demand balance judgment result meets the supply capacity of the target and the hydropower road or not and how to adjust the parameters in the main element model and/or ensure the parameters in the element model to enable the adjusted drilling engineering operation plan to meet the set target on the premise of meeting the supply capacity of the hydropower road are/is ensured.
Drawings
In order to more clearly illustrate the technical solution, the drawings needed to be used in the embodiments are briefly described below, and it should be understood that, for those skilled in the art, other related drawings can be obtained according to the drawings without creative efforts, wherein:
FIG. 1 is a schematic flow chart of an intelligent scheduling method of a drilling project based on an intelligent scheduling system of a shale gas drilling project;
FIG. 2 is a schematic diagram of internal data flow of an intelligent scheduling system for shale gas drilling engineering;
FIG. 3 is a partial schematic view of the principal prime model of FIG. 1;
FIG. 4 is a schematic diagram of a portion of the model of the security elements of FIG. 1;
FIG. 5 is a schematic diagram of a portion of the early warning result fast feedback module of FIG. 1;
FIG. 6 is a schematic diagram of a portion of the multi-step iterative tuning module of FIG. 1;
FIG. 7 is a schematic diagram illustrating the determination of water supply and demand balance for the H1 platform;
FIG. 8 is a schematic diagram of the H2 platform for determining water supply and demand balance;
FIG. 9 is a schematic diagram of the H3 platform for determining water supply and demand balance;
FIG. 10 is a schematic diagram illustrating the determination of power supply and demand balance for the H1 platform;
FIG. 11 is a schematic diagram illustrating the determination of power supply and demand balance for the H2 platform;
fig. 12 is a schematic diagram illustrating the determination of power supply and demand balance for the H3 platform.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and therefore should not be considered as a limitation to the scope of protection. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Example 1:
the embodiment discloses an intelligent scheduling method for shale gas drilling engineering, which comprises the steps of constructing a main element model for acquiring basic data of the drilling engineering and a guarantee element model for acquiring basic data of a water circuit according to the characteristics of the shale gas drilling engineering, and presetting a drilling frame plan comprising the number of drilled wells, the number of production wells and newly-built productivity as a target; firstly, a drilling implementation sequence is worked out by a main prime model according to acquired drilling engineering basic data through a tracking deduction algorithm and matched with a drilling machine to form an original drilling engineering operation plan; judging and feeding back an original drilling engineering operation plan by the guarantee element model according to the acquired water circuit infrastructure data through a dynamic programming algorithm, judging whether a single well which does not meet supply and demand conditions exists or not and predicting whether a preset target can be realized or not; and when a single well which does not meet the supply and demand conditions exists or the preset target can not be realized through prediction, returning to the main element model and the guarantee element model to modify the basic data corresponding to the main elements and/or the guarantee elements of the well which does not meet the conditions to form a modified drilling engineering operation plan, adjusting and continuously converging result data through multi-step iteration to enable the iteration adjustment result to meet the supply and demand balance and the set target, and finally forming a fixed-version drilling engineering operation plan with performability, thereby realizing the intelligent scheduling of the drilling engineering.
By taking the shale gas drilling engineering in the Changning area as an example, the shale gas drilling engineering intelligent scheduling method provided by the embodiment has better economy, timeliness and accuracy.
(1) Economy of use
Before use: in 2018, the actual average production of a single well is stopped for 7.2 days without technology (the drilling is stopped for 4.4 days, and the fracturing is stopped for 2.8 days), wherein the actual average production is stopped for 5.9 days due to production organization factors and the like. After use: the stop time is reduced by 70 percent due to production organization factors and the like. Economic benefits are as follows: 3.9 ten thousand yuan for stopping of a drilling machine ZJ50D and the like, and 13.9 ten thousand yuan for stopping of a fracturing truck group 2500 type 18 and a matched machine and the like. The Changning plan of newly opening a well 100 in 2020, 3239 ten thousand yuan can be saved; the new 4388 drilled well is planned and accumulated in the year of 2021-2035 of the shale gas from south China, and 142127 ten thousand yuan can be saved.
By contrast, by improving the professional synergistic ability, the production and other stop time is greatly reduced, and the economic benefit is considerable.
(2) Aging property
Tracking frequency: the tracking deduction frequency is improved from once a month to once a day by depending on dynamic data of an industrial monitoring system; the working efficiency is as follows: the time is shortened from 3 people per day to less than 10min per time; early warning and aging: the time relevance of the early warning information is improved to be within 1 day from 1-30 days later.
Through comparison, the dynamic tracking frequency, the working efficiency and the early warning timeliness are greatly improved.
(3) Accuracy of
Before use, the progress tracking is mainly to fill in daily report data through field supervision, and well engineering management posts estimate the completion time of the current working procedure and manually deduce the drilling time of other wells. After the system is used, the progress is filled by field supervision, the completion time is estimated by combining the drilling state, the predicted completion time of a single well is more accurate, and the acquired drilling progress information is put into the system, so that the planned drilling plan is more accurate.
Example 2:
based on embodiment 1, as shown in fig. 1, the present embodiment describes in detail an intelligent scheduling method for shale gas drilling engineering based on an intelligent scheduling system for shale gas drilling engineering. At this time, the internal data flow of the shale gas drilling engineering intelligent dispatching system is shown in fig. 2.
As shown in fig. 3-6, an intelligent scheduling system for shale gas drilling engineering comprises a main element model, a guarantee element model, an early warning result fast feedback module and a multi-step iterative tuning module.
The main element model is used for arranging the drilling progress by combining the characteristics of the drilling service and automatically matching the drilling machines in the drilling machine library with the planned well numbers of the drilling; the guarantee element model is used for carrying out supply and demand balance judgment by combining the water supply capacity, the power supply capacity, the road traffic capacity, the pre-drilling tool installation and other guarantee element states; therefore, whether the drilling progress fed back and arranged according to the supply and demand balance judgment result meets the supply capacity of the target and the hydropower road or not and how to adjust the parameters in the main element model and/or ensure the parameters in the element model to enable the adjusted drilling engineering operation plan to meet the set target on the premise of meeting the supply capacity of the hydropower road are/is ensured.
The shale gas drilling engineering intelligent scheduling method based on the intelligent scheduling system specifically comprises the following steps:
step S1: constructing a main element model for acquiring basic data of drilling engineering and a guarantee element model for acquiring basic data of a water circuit;
step S2: leading in a drilling frame plan which is preset to comprise the drilling number, the production well number and the newly built capacity as a target;
step S3: the main element model works out a drilling implementation sequence according to the acquired basic data of the drilling engineering through a tracking deduction algorithm and matches with a drilling machine to form an initial drilling engineering operation plan;
step S4: judging and feeding back an original drilling engineering operation plan by the guarantee element model according to the acquired water circuit infrastructure data through a dynamic programming algorithm, judging whether a single well which does not meet supply and demand conditions exists or not and predicting whether a preset target can be realized or not;
step S5: and (3) feedback of a judgment result:
if the single well which does not meet the supply and demand conditions exists or the preset target cannot be achieved through prediction, executing the step S6;
if the single well which does not meet the supply and demand conditions does not exist and the preset target can be achieved in the prediction mode, executing the step S8;
step S6: returning to the main element model and the guarantee element model to modify and optimize any one or more data of the number of drilling machines, the number of drilling wells, the drilling period, the moving and installing period, the temporary water supply point, the temporary power supply point, the road maintenance plan and the installation time of the platform tool before drilling for the wells which do not meet the conditions;
step S7: inputting the tuning result in the step S5 into the step S3, and circularly performing the steps S3, S4 and S5 until no single well which does not meet the supply and demand conditions exists and the tuning result can be predicted to achieve the preset target;
step S8: and forming a well drilling frame plan with executable fixed version, displaying and/or outputting.
Further, basic data of the drilling engineering related in the shale gas drilling engineering intelligent scheduling method is used as data of main elements, and water circuit infrastructure data is used as data of guarantee elements; the specific contents of the data of the main elements and the guarantee elements are as follows:
1. the basic data of the drilling engineering comprise platform basic data, well basic data, drilling machine basic data and drilling parameters;
the platform basic data includes: platform number, platform name;
the well basic data includes: well number, well name, well type, well position, platform to which the well belongs, actual grouping number of the well and sequence of the wells in the same group;
③ said drilling rig basic data, comprising: basic attributes of the drilling machine, production capacity of the drilling machine and the number of the drilling machines;
wherein the basic properties of the drilling machine comprise: rig company, rig capability type;
the rig capacity, comprising: the capacity of the drilling machine is numbered, and the capacity value of the drilling machine is numbered;
fourthly, the drilling parameters comprise: setting parameters, drilling machine parameters, drilling starting parameters and drilling finishing parameters;
wherein the safety parameters include: the same group has the number of days of peace again, and the different group has the number of days of peace again;
the drilling machine parameters comprise: a carry-in period and a carry-out period;
the drilling parameters comprise: the drilling time of the upper section of the well, the drilling time of the lower section of the well and the drill starting delay period of the lower drilling machine are determined;
the drilling completion parameters comprise: completion cycle, open scrub/well time;
3. the water circuit infrastructure data comprises pre-drilling platform data, water supply data, power supply data and road data;
the pre-drilling platform data includes: installing time for a platform before drilling;
the water supply data includes: temporary water supply points, temporary and permanent planned water supply times, platforms involved in temporary and permanent water supply, daily water supply capacity of the platforms for temporary and permanent water supply, water supply line names;
③ the power supply data comprises: the method comprises the following steps of (1) temporary power supply points, temporary and transformer substation planned power supply time, platforms related to temporary and permanent power supply, daily power supply capacity of the temporary and transformer substations and power supply line names;
the road data comprises: the system comprises road basic data, associated data of corresponding relations between roads and platforms, road plan commissioning time and road breakpoint maintenance time.
Further, in the step S1, a principal component model for collecting basic data of the drilling engineering is constructed. The main prime model receives a preset drilling frame plan and drilling engineering basic data, and then sequentially performs drilling plan well number extraction, well natural attribute analysis, drilling machine position grouping, drilling priority matching rule setting, drilling parameter model combination, drilling machine scheduling, drilling machine production capacity analysis, drilling operation dynamic data acquisition, tracking deduction and initial drilling engineering operation plan formulation.
Further, in the step S1, a guarantee element model for collecting water circuit infrastructure data is constructed. The guarantee element model receives the initial drilling engineering operation plan output by the main element model for demand analysis and performs supply capacity analysis on the acquired water circuit infrastructure data; and then, combining the demand analysis result and the supply capacity analysis result, carrying out supply and demand balance judgment on the wells one by factors, marking each single well as a well meeting the demand or a well meeting the demand in a delayed manner or a well not meeting the demand according to the supply and demand balance state of each single well, and counting the number of wells meeting the demand, the number of wells meeting the demand in a delayed manner and the number of wells not meeting the demand to obtain single well balance data.
Further, the original version of the drilling engineering operation plan, the modified drilling engineering operation plan, and the fixed version of the drilling engineering operation plan in step S1 are drilling frame plans of different versions, and the contents of the drilling engineering operation plan include deduced installation time, drilling start time, drilling completion time, drilling machine removal starting time, drilling machine removal time, predicted drilling number, production well number, and new production capacity related to the platform number and the well number.
The planned setting time, drilling starting time, drilling finishing time, well completion time, drilling machine moving-out time and drilling machine moving-out time related to the platform number and the well number are mainly used for guaranteeing the balance judgment of the supply and demand of elements, and the predicted drilling number, the production well number and the newly-built capacity are mainly used for judging the feasibility of the preset target imported in the step S2.
Further, in the step S3, the main element model works out a drilling implementation sequence and matches the drilling machine according to the acquired drilling engineering basic data through a tracking and deduction algorithm to form an original drilling engineering operation plan, specifically: acquiring shale gas well engineering basic data comprising platform basic data, well basic data, drilling machine basic data and drilling parameters, and establishing a main element model according to a shale gas drilling engineering business process; and then, automatically matching the basic well data with the basic drilling machine data according to a drilling machine matching rule, arranging the drilling machines and grouping wells, arranging the drilling project progress according to the main element model, and forming an initial drilling project operation plan for predicting the implementation progress of the drilling project.
Further, the step S4 and the step S5 are implemented by determining and feeding back an original drilling engineering operation plan by the guarantee element model according to the acquired water circuit infrastructure data through a dynamic programming algorithm, and specifically include: the contents of demand analysis, basic information maintenance, supply capacity analysis and supply and demand balance judgment.
The demand analysis includes single well demand analysis and platform demand analysis.
Analyzing the single well requirement, namely analyzing the required time of a platform before drilling of the single well, the water required time and quantity of the single well, the power required time and quantity of the single well and the required road time of the single well by an original drilling engineering operation plan;
the specific analysis method is as follows:
acquiring drilling time, drilling opening time, drilling completion time, drilling machine moving-out time and drilling machine moving-out time from an initial drilling engineering operation plan;
(1) enabling the required time of the single-well drilling front platform to be consistent with the drilling time to obtain the required time of the single-well drilling front platform;
(2) enabling the single-well water-demand starting time to be consistent with the drilling starting time, enabling the single-well water-demand ending time to be consistent with the drilling finishing time, and calculating the single-well water-demand time according to the difference value of the single-well water-demand starting time and the single-well water-demand ending time; the daily water demand of a single well adopts the default value of the system or is modified and set by management personnel;
(3) enabling the single-well power demand starting time to be consistent with the drilling time, enabling the single-well power demand ending time to be consistent with the drilling completion time, and calculating the single-well power demand time according to the difference value of the single-well power demand starting time and the single-well power demand ending time; the daily power supply load of a single well adopts the default value of the system or is modified and set by a manager; the drilling machines used in the shale gas field well project are divided into a diesel drilling machine and an electric drilling machine, the diesel drilling machine does not need electricity to drive, and the electricity demand analysis mainly aims at the electric drilling machine to carry out demand analysis; for example: the power of the ZJ50 type electric drilling machine is 2000KW by default, and the power of the ZJ70 type electric drilling machine is 2500KW by default;
(4) the single-well required road starting time is consistent with the drilling machine moving-away starting time, the single-well required road ending time is consistent with the drilling machine moving-out time, and the single-well required road time is calculated according to the difference value of the single-well required road starting time and the single-well required road ending time. The method comprises the following steps that the required road time of a single well in the whole shale gas field well project is divided into two sections, wherein one section is the required road time of the drilling machine from the time when the drilling machine starts to move away to the time when the drilling machine moves away, and the other section is the ending time from the preparation time of fracturing to the end of fracturing; but fracturing is not considered in the drilling engineering, and the use requirement of a drilling machine for carrying a road is mainly considered.
Secondly, analyzing the platform demand, and calculating the platform demand time before drilling, the platform water demand time and amount, the platform power demand time and amount and the platform demand road time through the demand time of a platform before drilling, the single well water demand time and amount, the single well power demand time and amount and the single well demand road time corresponding to the single well related to the platform;
the specific analysis method is as follows:
(1) taking the required time of the single-well pre-drilling platform with the earliest time in the platforms as the required time of the pre-drilling platform;
(2) the single-well water-demand starting time with the earliest time in the platform is used as the platform water-demand starting time, the single-well water-demand ending time with the latest time in the platform is used as the platform water-demand ending time, and the platform water-demand time is calculated according to the difference value of the platform water-demand starting time and the platform water-demand ending time; taking the total daily water demand of all single wells related to the platform as the daily water demand of the platform;
(3) taking the single-well power demand starting time with the earliest time in the platform as the platform power demand starting time, taking the single-well power demand ending time with the latest time in the platform as the platform power demand ending time, and calculating the platform power demand time according to the difference value of the platform power demand starting time and the platform power demand ending time; the total of the daily power supply loads of the single wells of all the single wells related to the platform is used as the daily power supply load of the platform;
(4) the method comprises the steps of taking the starting time of a single-well demand road with the earliest time in a platform as the starting time of the platform demand road, taking the ending time of the single-well demand road with the latest time in the platform as the ending time of the platform demand road, and calculating the platform demand road time according to the difference value of the starting time of the platform demand road and the ending time of the platform demand road.
Thirdly, maintaining the basic information, which is mainly used for maintaining the basic information of pre-drilling engineering, water supply engineering, power supply engineering and road construction;
(1) basic information maintenance of the pre-drilling engineering, which mainly maintains platforms related to the pre-drilling engineering project and completion time of the pre-drilling platforms;
(2) basic information maintenance of water supply engineering, which mainly comprises maintaining a water supply pipeline and relating to a platform, and supplying water time and water supply amount to the platform;
(3) basic information maintenance of power supply engineering, which mainly comprises maintaining a power supply line related to a platform, and supplying power time and power supply load to the platform;
(4) basic information maintenance of road construction mainly aims at maintaining platforms and road smooth time related to roads and eliminating road maintenance influence.
Analyzing the supply capacity, and determining platforms, supply time and supply quantity related to the four aspects of pre-drilling engineering, water supply engineering, power supply engineering and road construction through basic information maintenance, wherein the method specifically comprises the following steps: platform supply time before drilling, platform water supply time and quantity, platform power supply time and quantity, and platform passage passing time.
And fifthly, performing platform-by-platform supply and demand balance judgment on four aspects of pre-drilling engineering, water supply engineering, power supply engineering and road construction through a dynamic planning algorithm based on the guarantee element model and the acquired water circuit infrastructure data.
Here, the specific content of the platform-by-platform supply and demand balance judgment includes supply and demand balance judgment of a pre-drilling project, supply and demand balance judgment of a water supply project, supply and demand balance judgment of a power supply project, and supply and demand balance judgment of road construction.
The specific judgment method for the supply and demand balance judgment of each platform is as follows.
(1) Judging the supply and demand balance of the pre-drilling engineering: carrying out balance judgment on supply and demand of the pre-drilling engineering one by one, and if the supply time of a platform before drilling of a certain platform is less than or equal to the drilling time, the platform meets the demand; if the supply time of a platform before drilling is larger than the drilling time, the platform is delayed to meet the requirement; and the rest platforms are 'unsatisfied with requirements', and are repeatedly judged so as to analyze the platforms in all the initial drilling engineering operation plans.
(2) And (3) judging the supply and demand balance of the water supply engineering: the supply and demand balance judgment of the water supply engineering is carried out one by one on platforms:
firstly, finding out a platform with the starting time of platform water demand more than or equal to the temporary and permanent planned water supply time, and if the daily water supply capacity of the platform with temporary and permanent water supply is more than or equal to the daily water demand of the platform, the platform meets the requirement;
finding out a platform with the platform water demand starting time being more than or equal to the temporary and permanent planned water supply time, and if the platform daily water supply capacity of temporary and permanent water supply is less than the platform daily water demand, indicating that the water supply requirement is not met under the current conditions; finding out a platform with the platform water demand starting time less than the temporary and permanent planned water supply time and a platform with the platform water demand starting time more than or equal to the temporary and permanent planned water supply time, wherein the daily water demand of the platform is less than or equal to the daily water supply capacity of the temporary and permanent water supply, so that the condition that the platform water demand is not met at present and the platform water demand is met in the future is indicated, and the platform meets the requirement in a delayed manner;
the remaining platforms are "not meeting the requirements".
It should be noted that the start time of water demand of the platform and the time of temporary and permanent planned water supply are recorded by date. As shown in fig. 7-12, three platforms, i.e., H1 platform, H2 platform, and H3 platform, are taken as an example for simplification:
the water supply line 1 is the name of a water supply line for temporary water supply, the planned water supply time of the water supply line 1 is from 1/2020 to 12/31/2020, and the daily water supply capacity of the water supply line 1 is 50;
the water supply line 2 is the name of a water supply line for permanent water supply, the planned water supply time of the water supply line 2 is from 5/1/2020/12/31/2020, and the daily water supply capacity of the water supply line 2 is 200;
as shown in fig. 7, the platform water demand time of the H1 platform is from 1 month to 20 days (platform water demand start time) in 2020 to 4 months to 30 days (platform water demand end time) in 2020, and the daily water demand of the platform is 300 square; the daily water supply capacity of the platform for temporary and permanent water supply in the time period is only 50, and even if the daily water supply capacity of the platform for permanent water supply is only 250 after 5, 1 and 5 months in 2020, the daily water demand of the platform still cannot be met, so that the supply and demand balance judgment result of the H1 platform water supply project is 'not met' as required;
as shown in fig. 8, the platform water demand time of the H2 platform is 20 days in 3/month (platform water demand start time) to 30 days in 6/month (platform water demand end time) in 2020, and the daily water demand of the platform is 100 square; the platform daily water supply capacity for temporary and permanent water supply in the time period is firstly 50 and then is changed into 250, namely the platform daily water demand can be met by the 250 party of the platform daily water supply capacity for permanent water supply after 5, 1 and 5 months in 2020, so that the supply and demand balance judgment result of the H1 platform water supply project is 'delay meeting requirement';
as shown in fig. 9, the platform water demand time of the H3 platform is 20 days (platform water demand start time) 7 and 20 days (platform water demand end time) to 31 days (platform water demand end time) 10 and 31 days 2020, and the platform daily water demand is 200 square; the daily water supply capacity of the platform for temporary and permanent water supply at the time is always 250, and the daily water demand of the platform can be met, so that the supply and demand balance judgment result of the H1 platform water supply project is 'meeting the demand'.
(3) And (3) judging the supply and demand balance of the power supply project: the supply and demand balance judgment of the power supply project is carried out one by one:
firstly, finding out a platform with the platform power demand starting time being more than or equal to the temporary and planned power supply time of the transformer substation, and if the daily power supply capacity of the temporary and the transformer substation is more than or equal to the daily power supply load of the platform, the platform meets the requirement;
then finding out a platform with the platform power demand starting time more than or equal to the temporary and planned power supply time of the transformer substation, wherein the daily power supply capacity of the temporary and transformer substations is less than the daily power supply load of the platform, and the condition that the platform power demand can not be met under the current condition is shown; finding out a platform with the platform power demand starting time less than the temporary and transformer substation planned power supply time and a platform with the platform power demand starting time more than or equal to the temporary and transformer substation planned power supply time, wherein the daily power supply load of the platform is less than or equal to the daily power supply capacity of the temporary and transformer substations, so that the current drilling power demand is not met, and the platform can meet the requirement in a delayed manner in the future;
the remaining platforms are "not meeting the requirements".
It should be noted that the platform power demand start time, the temporary time and the planned power supply time of the substation are recorded by date. As shown in the figure, three platforms, i.e., H1 platform, H2 platform, and H3 platform, are taken as an example for simplification:
the power supply line 1 is the name of a power supply line for temporary power supply, the planned power supply time of the power supply line 1 is from 1/2020 to 12/2020/31/and the daily power supply capacity of the power supply line 1 is 6000 KW;
the power supply line 2 is the name of a power supply pipeline for permanent power supply, the planned power supply time of the power supply line 2 is from 5/1/2020 to 12/31/2020, and the daily power supply capacity of the power supply line 2 is 10000 KW;
as shown in fig. 10, the platform power demand time of the H1 platform is from 1 month to 20 days (platform power demand start time) in 2020 to 4 months to 30 days (platform power demand end time) in 2020, and the daily power demand of the platform is 20000 KW; the daily power supply capacity of the platform for temporary and permanent power supply in the time period is only 6000KW, and even if the daily power supply capacity of the platform for permanent power supply is only 16000KW after 5, 1 and 1 days of 2020, the daily power demand of the platform still cannot be met, so that the balance judgment result of the supply and demand of the H1 platform power supply project is 'unsatisfied demand';
as shown in fig. 11, the platform power demand time of the H2 platform is 20 days 3 and 20 months (platform power demand start time) to 30 days 6 and 30 months (platform power demand end time) 2020, and the daily power demand of the platform is 12000 KW; the daily power supply capacity of the platform for temporary and permanent power supply in the time period is 6000KW and then is 16000KW, namely the daily power supply capacity 16000KW of the platform for permanent power supply after 5, 1 and 5 months in 2020 can meet the daily power demand of the platform, so that the supply and demand balance judgment result of the H1 platform power supply project is 'delay meeting the demand';
as shown in fig. 12, the platform power demand time of the H3 platform is 20 days (platform power demand start time) 7 and 20 days in 2020 to 31 days (platform power demand end time) 10 and 31 days in 2020, and the daily power demand of the platform is 12000 KW; the daily power supply capacity of the platform for temporary and permanent power supply in the time period is always 16000KW, and the daily power demand of the platform can be met, so that the supply and demand balance judgment result of the H1 platform power supply project is 'meeting the demand'.
(4) The supply and demand balance of road construction is judged, and the supply and demand balance of road construction is judged one by one on platforms:
the road plan commissioning time is less than or equal to the platform required road starting time, namely the platform required road time is within the road plan commissioning time, and the road breakpoint maintenance time is beyond the platform required road time, the platform meets the requirement;
the planned commissioning time of the road is more than the time when the drilling machine starts to move away, and after a period of delay, the requirement that the delayed platform requires the road time to be within the planned commissioning time of the road and the maintenance time of the road breakpoint to be out of the delayed platform requirement road time can be met, so that the platform is delayed to meet the requirement;
the remaining platforms are "not meeting the requirements".
And further, the supply and demand balance judgment result is displayed in a visual grading manner by the early warning result quick feedback module.
The early warning result fast feedback module is used for importing single well balance data from the guarantee element model, carrying out grading judgment on the single well balance data according to an early warning strategy, and labeling different judgment results with different colors for grading display; then, making an adjusted drilling engineering operation plan according to the judgment result;
through the calculation in the step S4 and the judgment in the step S5, the supply and demand balance judgment results of each platform in the aspects of water supply, electricity supply and utilization, road operation and completion of the platform before drilling are determined, and in order to enable the display of the judgment results of each platform to be more in line with the query habits of business personnel and conveniently and quickly find problems, the model sorts the calculated well numbers and the judgment results according to the query habits of the business personnel and simultaneously displays the judgment results of each platform in a grading manner. Every platform all has the water supply, the power supply and utilization, road operation, 4 judgement in the aspect of the platform completion condition before drilling, supply water in the single platform, supply power and utilization, road operation, there are platform that 3 and above judgement results are unsatisfied with red typeface before drilling the platform completion condition, 2 platforms that judgement results are unsatisfied with yellow typeface, 1 platform that judgement results are unsatisfied with blue typeface, other (all judgement results all satisfy) platforms are the demonstration of black typeface, form the adjustment annual drilling engineering operation plan, in order to reach the quick feedback of early warning result, make things convenient for the corresponding problem of looking over of service personnel.
Example 3:
this example describes in detail a multi-step iterative tuning operation based on example 1 or example 2.
In order to make the determination result more suitable for the service requirement, that is, to meet the initial set target, it is necessary to determine whether the "number of drilled wells", "number of put-in-production wells" and "new capacity" in the initial version of drilling project operation plan (i.e., the first version of drilling project operation plan) meet the requirements compared with the "number of drilled wells", "number of put-in-production wells" and "new capacity" in the target. In the intelligent scheduling method in the embodiment, based on the multi-step iterative optimization module, when the planned drilling engineering operation plan cannot meet the requirements of 'supply and demand balance' and 'target feasibility' at the same time, the result is output through multi-step iterative convergence for optimization.
The multi-step iteration adjusting and optimizing module inputs the adjusted drilling engineering operation plan from the early warning result quick feedback module, obtains the adjusted predicted drilling quantity, the number of production wells and the newly-built capacity, compares the adjusted predicted drilling quantity, the number of production wells and the newly-built capacity with a preset drilling frame plan, and judges whether the frame plan is met: if the drilling plan meets the requirement, the adjusted drilling engineering operation plan is used as a well drilling engineering operation plan with fixed version, and a result is output; and if not, performing iterative optimization on the main element model and/or the guarantee element model until the adjusted drilling engineering operation plan meets the drilling framework plan.
Specifically, the initial drilling project operation plan is compared and judged with the target drilling quantity, the production well number and the newly built capacity: if the requirements are met, the initial version of the drilling engineering operation plan (namely the first version of the drilling engineering operation plan) can be used as the fixed version of the drilling engineering operation plan to guide construction. If the requirements are not met, main elements such as the number of drilling rigs, the number of drilling wells, the drilling period and the carrying period and/or guarantee elements such as temporary water supply points, temporary power supply points, road maintenance plans and the installation time of the platform tool before drilling need to be adjusted. And step S7, inputting the adjusted element data into the main element model and the guarantee element model again for new arrangement, generating a modified drilling engineering operation plan, and then performing supply and demand balance judgment and feasibility judgment of a preset target. In the multi-step iterative tuning process, any one or more of a plurality of factors such as the number of drilling rigs, the number of drilling wells, the drilling period, the mounting period, the temporary water supply point, the temporary power supply point, the road maintenance plan, the mounting time of a platform tool before drilling and the like can be modified and adjusted, and then a new modified drilling engineering operation plan is formed. And the modified drilling project operation plans formed in the multi-step iterative tuning process are recorded as a second version drilling project operation plan, a third version drilling project operation plan, … … and an Nth version drilling project operation plan. Finally, as shown in step S8, the nth version of the drilling project operation plan satisfying both the supply and demand balance and the preset target will be output as the fixed version of the drilling project operation plan.
Shale gas continuously exposes a plurality of problems of 'more wells, dense platforms, more supporting dependence' and the like in the large-scale production stage, and business personnel find that the execution is poor, and wastes time and labor after making an initial drilling engineering operation plan. The intelligent scheduling optimization method of the drilling engineering based on the multi-step iteration technology marks a 'problem' well by color grading according to the condition that conditions are met in the aspects of water supply, power supply, roads and pre-drilling engineering of a single well, and the adjustment is more accurate; meanwhile, the difference between the simulation adjustment plan and the convergence target is continuously shortened through a target convergence technology of continuously returning the main prime model and/or the guarantee element model for parameter adjustment until an optimal adjustment plan is formed. The problems that the amount of information collected by service personnel in the process of making and adjusting the plan is large, the consideration factors are not complete and the like are solved, and the performability, the predictability and the poor flexibility of the plan are improved.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications and equivalent variations of the above embodiments according to the technical spirit of the present invention are included in the scope of the present invention.
Claims (12)
1. The shale gas drilling engineering intelligent scheduling method is characterized by comprising the following steps: constructing a main element model for acquiring basic data of drilling engineering and a guarantee element model for acquiring basic data of a water circuit according to characteristics of shale gas drilling engineering, and presetting a drilling frame plan comprising the number of drilling wells, the number of production wells and newly-built productivity as a target; firstly, a drilling implementation sequence is worked out by a main prime model according to acquired drilling engineering basic data through a tracking deduction algorithm and matched with a drilling machine to form an original drilling engineering operation plan; judging and feeding back an original drilling engineering operation plan by the guarantee element model according to the acquired water circuit infrastructure data through a dynamic programming algorithm, judging whether a single well which does not meet supply and demand conditions exists or not and predicting whether a preset target can be realized or not; and when a single well which does not meet the supply and demand conditions exists or the preset target can not be realized through prediction, returning to the main element model and the guarantee element model to modify the basic data corresponding to the main elements and/or the guarantee elements of the well which does not meet the conditions to form a modified drilling engineering operation plan, adjusting and continuously converging result data through multi-step iteration to enable the iteration adjustment result to meet the supply and demand balance and the set target, and finally forming a fixed-version drilling engineering operation plan with performability, thereby realizing the intelligent scheduling of the drilling engineering.
2. The intelligent scheduling method for the shale gas drilling engineering according to claim 1, characterized in that:
the basic data of the drilling engineering comprise basic platform data, basic well data, basic drilling machine data and drilling parameters;
the platform essential data, comprising: platform number, platform name;
the well baseline data comprising: well number, well name, well type, well position, platform to which the well belongs, actual grouping number of the well and sequence of the wells in the same group;
the drilling rig basic data comprises: basic attributes of the drilling machine, production capacity of the drilling machine and the number of the drilling machines;
the basic properties of the drilling machine comprise: rig company, rig capability type;
the rig capacity, comprising: the capacity of the drilling machine is numbered, and the capacity value of the drilling machine is numbered;
the drilling parameters include: setting parameters, drilling machine parameters, drilling starting parameters and drilling finishing parameters;
the safety parameters include: the same group has the number of days of peace again, and the different group has the number of days of peace again;
the drilling machine parameters comprise: a carry-in period and a carry-out period;
the drilling parameters comprise: the drilling time of the upper section of the well, the drilling time of the lower section of the well and the drill starting delay period of the lower drilling machine are determined;
the drilling completion parameters comprise: completion cycle, open scrub/well time;
the water circuit infrastructure data comprises pre-drilling platform data, water supply data, power supply data and road data;
the pre-drill platform data comprising: installing time for a platform before drilling;
the water supply data includes: temporary water supply points, temporary and permanent planned water supply times, platforms involved in temporary and permanent water supply, daily water supply capacity of the platforms for temporary and permanent water supply, water supply line names;
the power supply data includes: the method comprises the following steps of (1) temporary power supply points, temporary and transformer substation planned power supply time, platforms related to temporary and permanent power supply, daily power supply capacity of the temporary and transformer substations and power supply line names;
the road data includes: the system comprises road basic data, associated data of corresponding relations between roads and platforms, road plan commissioning time and road breakpoint maintenance time.
3. The intelligent scheduling method for shale gas drilling engineering according to claim 2, characterized in that: the main element model works out a drilling implementation sequence according to the acquired drilling engineering basic data through a tracking deduction algorithm and matches with a drilling machine to form an initial drilling engineering operation plan, which specifically comprises the following steps: acquiring shale gas well engineering basic data comprising platform basic data, well basic data, drilling machine basic data and drilling parameters, and establishing a main element model according to a shale gas drilling engineering business process; then, automatically matching the basic well data with the basic drilling machine data according to a drilling machine matching rule, arranging the drilling machines and grouping wells, arranging the drilling project progress according to the main element model, and forming an initial drilling project operation plan for predicting the implementation progress of the drilling project;
the initial version of the drilling engineering operation plan, the modified drilling engineering operation plan and the fixed version of the drilling engineering operation plan are drilling frame plans of different versions, the contents of the drilling engineering operation plan comprise deduced installation time, drilling starting time, drilling finishing time, well completion time, drilling machine moving-away starting time and drilling machine moving-out time which are related to a platform number and a well number, and the contents of the drilling engineering operation plan further comprise predicted drilling quantity, production well number and new construction capacity.
4. The intelligent scheduling method for shale gas drilling engineering according to claim 2, characterized in that: the method is characterized in that the initial drilling engineering operation plan is judged and fed back by the guarantee element model according to the acquired water circuit infrastructure data through a dynamic planning algorithm, and the method specifically comprises the following steps: the contents of demand analysis, basic information maintenance, supply capacity analysis and supply and demand balance judgment.
5. The intelligent scheduling method for shale gas drilling engineering according to claim 4, characterized in that: the demand analysis comprises single well demand analysis and platform demand analysis;
analyzing the single well requirement, namely analyzing the required time of a platform before drilling of the single well, the water required time and quantity of the single well, the power required time and quantity of the single well and the required road time of the single well through an original drilling engineering operation plan;
the specific analysis method is as follows:
acquiring drilling time, drilling opening time, drilling completion time, drilling machine moving-out time and drilling machine moving-out time from an initial drilling engineering operation plan;
(1) enabling the required time of the single-well drilling front platform to be consistent with the drilling time to obtain the required time of the single-well drilling front platform;
(2) enabling the single-well water-demand starting time to be consistent with the drilling starting time, enabling the single-well water-demand ending time to be consistent with the drilling finishing time, and calculating the single-well water-demand time according to the difference value of the single-well water-demand starting time and the single-well water-demand ending time;
(3) enabling the single-well power demand starting time to be consistent with the drilling time, enabling the single-well power demand ending time to be consistent with the drilling completion time, and calculating the single-well power demand time according to the difference value of the single-well power demand starting time and the single-well power demand ending time;
(4) the single-well required road starting time is consistent with the drilling machine moving-away starting time, the single-well required road ending time is consistent with the drilling machine moving-out time, and the single-well required road time is calculated according to the difference value of the single-well required road starting time and the single-well required road ending time.
6. The intelligent scheduling method for shale gas drilling engineering according to claim 5, characterized in that: the platform demand analysis is used for calculating the platform demand time before drilling, the platform water demand time and amount, the platform power demand time and amount and the platform demand road time through the demand time of the platform before drilling, the single well water demand time and amount, the single well power demand time and amount and the single well demand road time corresponding to the single well related to the platform;
the specific analysis method is as follows:
(1) taking the required time of the single-well pre-drilling platform with the earliest time in the platforms as the required time of the pre-drilling platform;
(2) the single-well water-demand starting time with the earliest time in the platform is used as the platform water-demand starting time, the single-well water-demand ending time with the latest time in the platform is used as the platform water-demand ending time, and the platform water-demand time is calculated according to the difference value of the platform water-demand starting time and the platform water-demand ending time; taking the total daily water demand of all single wells related to the platform as the daily water demand of the platform;
(3) taking the single-well power demand starting time with the earliest time in the platform as the platform power demand starting time, taking the single-well power demand ending time with the latest time in the platform as the platform power demand ending time, and calculating the platform power demand time according to the difference value of the platform power demand starting time and the platform power demand ending time; the total of the daily power supply loads of the single wells of all the single wells related to the platform is used as the daily power supply load of the platform;
(4) the method comprises the steps of taking the starting time of a single-well demand road with the earliest time in a platform as the starting time of the platform demand road, taking the ending time of the single-well demand road with the latest time in the platform as the ending time of the platform demand road, and calculating the platform demand road time according to the difference value of the starting time of the platform demand road and the ending time of the platform demand road.
7. The intelligent scheduling method for shale gas drilling engineering according to claim 6, characterized in that: the basic information maintenance is mainly used for maintaining basic information of pre-drilling engineering, water supply engineering, power supply engineering and road construction;
(1) basic information maintenance of the pre-drilling engineering, which mainly maintains platforms related to the pre-drilling engineering project and completion time of the pre-drilling platforms;
(2) basic information maintenance of water supply engineering, which mainly comprises maintaining a water supply pipeline and relating to a platform, and supplying water time and water supply amount to the platform;
(3) basic information maintenance of power supply engineering, which mainly comprises maintaining a power supply line related to a platform, and supplying power time and power supply load to the platform;
(4) basic information maintenance of road construction mainly aims at maintaining platforms and road smooth time related to roads and eliminating road maintenance influence.
8. The intelligent scheduling method for shale gas drilling engineering according to claim 7, characterized in that: the supply capacity analysis is used for determining platforms, supply time and supply quantity related to the four aspects of pre-drilling engineering, water supply engineering, power supply engineering and road construction through basic information maintenance, and specifically comprises the following steps: platform supply time before drilling, platform water supply time and quantity, platform power supply time and quantity, and platform passage passing time.
9. The intelligent scheduling method for shale gas drilling engineering according to claim 8, characterized in that: and the supply and demand balance judgment is carried out on four aspects of pre-drilling engineering, water supply engineering, power supply engineering and road construction platform by platform through a dynamic planning algorithm based on the guarantee element model and the acquired water circuit infrastructure data:
and the supply and demand balance judgment of the pre-drilling engineering is carried out by platforms one by one:
if the supply time of a platform before drilling is less than or equal to the drilling time, the platform meets the requirement; if the supply time of a platform before drilling is larger than the drilling time, the platform is delayed to meet the requirement;
the rest platforms are 'not meeting the requirements';
(2) the supply and demand balance of the water supply engineering is judged, and the supply and demand balance of the water supply engineering is judged one by one on platforms:
firstly, finding out a platform with the starting time of platform water demand more than or equal to the temporary and permanent planned water supply time, and if the daily water supply capacity of the platform with temporary and permanent water supply is more than or equal to the daily water demand of the platform, the platform meets the requirement;
finding out a platform with the platform water demand starting time being more than or equal to the temporary and permanent planned water supply time, and if the platform daily water supply capacity of temporary and permanent water supply is less than the platform daily water demand, indicating that the water supply requirement is not met under the current conditions; finding out a platform with the platform water demand starting time less than the temporary and permanent planned water supply time and a platform with the platform water demand starting time more than or equal to the temporary and permanent planned water supply time, wherein the daily water demand of the platform is less than or equal to the daily water supply capacity of the temporary and permanent water supply, so that the condition that the platform water demand is not met at present and the platform water demand is met in the future is indicated, and the platform meets the requirement in a delayed manner;
the rest platforms are 'not meeting the requirements';
(3) the supply and demand balance judgment of the power supply engineering is that the supply and demand balance judgment of the power supply engineering is carried out one by one on platforms:
firstly, finding out a platform with the platform power demand starting time being more than or equal to the temporary and planned power supply time of the transformer substation, and if the daily power supply capacity of the temporary and the transformer substation is more than or equal to the daily power supply load of the platform, the platform meets the requirement;
then finding out a platform with the platform power demand starting time more than or equal to the temporary and planned power supply time of the transformer substation, wherein the daily power supply capacity of the temporary and transformer substations is less than the daily power supply load of the platform, and the condition that the platform power demand can not be met under the current condition is shown; finding out a platform with the platform power demand starting time less than the temporary and transformer substation planned power supply time and a platform with the platform power demand starting time more than or equal to the temporary and transformer substation planned power supply time, wherein the daily power supply load of the platform is less than or equal to the daily power supply capacity of the temporary and transformer substations, so that the current drilling power demand is not met, and the platform can meet the requirement in a delayed manner in the future;
the rest platforms are 'not meeting the requirements';
(4) the supply and demand balance judgment of the road construction is that the supply and demand balance judgment of the road construction is carried out one by one on platforms:
the road plan commissioning time is less than or equal to the platform required road starting time, namely the platform required road time is within the road plan commissioning time, and the road breakpoint maintenance time is beyond the platform required road time, the platform meets the requirement;
the planned commissioning time of the road is more than the time when the drilling machine starts to move away, and after a period of delay, the requirement that the delayed platform requires the road time to be within the planned commissioning time of the road and the maintenance time of the road breakpoint to be out of the delayed platform requirement road time can be met, so that the platform is delayed to meet the requirement;
the rest platforms are 'not meeting the requirements';
and (5) repeatedly judging to analyze the platforms in all the initial drilling engineering operation plans.
10. The intelligent scheduling method for shale gas drilling engineering according to claim 2, characterized in that: the multi-step iterative tuning mainly adjusts the parameters of the number of drilling machines, the number of drilling wells, the drilling period and the moving and installing period in the main prime model and/or the influence factors of temporary water supply points, temporary power supply points, road maintenance plans and the installation time of platforms before drilling.
11. The intelligent scheduling method of shale gas drilling engineering according to any one of claims 1-10, characterized by: the method specifically comprises the following steps:
step S1: constructing a main element model for acquiring basic data of drilling engineering and a guarantee element model for acquiring basic data of a water circuit;
step S2: leading in a drilling frame plan which is preset to comprise the drilling number, the production well number and the newly built capacity as a target;
step S3: the main element model works out a drilling implementation sequence according to the acquired basic data of the drilling engineering through a tracking deduction algorithm and matches with a drilling machine to form an initial drilling engineering operation plan;
step S4: judging and feeding back an original drilling engineering operation plan by the guarantee element model according to the acquired water circuit infrastructure data through a dynamic programming algorithm, judging whether a single well which does not meet supply and demand conditions exists or not and predicting whether a preset target can be realized or not;
step S5: and (3) feedback of a judgment result:
if the single well which does not meet the supply and demand conditions exists or the preset target cannot be achieved through prediction, executing the step S6;
if the single well which does not meet the supply and demand conditions does not exist and the preset target can be achieved in the prediction mode, executing the step S8;
step S6: returning to the main element model and the guarantee element model to modify and optimize any one or more data of the number of drilling machines, the number of drilling wells, the drilling period, the moving and installing period, the temporary water supply point, the temporary power supply point, the road maintenance plan and the installation time of the platform tool before drilling for the wells which do not meet the conditions;
step S7: inputting the tuning result in the step S5 into the step S3, and circularly performing the steps S3, S4 and S5 until no single well which does not meet the supply and demand conditions exists and the tuning result can be predicted to achieve the preset target;
step S8: and forming a well drilling frame plan with executable fixed version, displaying and/or outputting.
12. The utility model provides a shale gas drilling engineering intelligent scheduling system which characterized in that: the early warning system comprises a main prime model, a guarantee element model, an early warning result quick feedback module and a multi-step iteration tuning module;
the main prime model receives a preset drilling frame plan and drilling engineering basic data, and then sequentially performs drilling plan number extraction, well natural attribute analysis, drilling machine position grouping, drilling priority matching rule setting, drilling parameter model combination, drilling machine scheduling, drilling machine production capacity analysis, drilling operation dynamic data acquisition, tracking deduction and initial drilling engineering operation plan formulation;
the guarantee element model receives the initial drilling engineering operation plan output by the main element model for demand analysis and performs supply capacity analysis on the acquired water circuit infrastructure data; then, combining the demand analysis result and the supply capacity analysis result, carrying out supply and demand balance judgment on the wells one by factors, marking each single well as a well meeting the demand or a well meeting the demand in a delayed manner or a well not meeting the demand according to the supply and demand balance state of each single well, and counting the number of wells meeting the demand, the number of wells meeting the demand in a delayed manner and the number of wells not meeting the demand to obtain single well balance data;
the early warning result fast feedback module is used for importing single well balance data from the guarantee element model, carrying out grading judgment on the single well balance data according to an early warning strategy, and labeling different judgment results with different colors for grading display; then, making an adjusted drilling engineering operation plan according to the judgment result;
the multi-step iteration adjusting and optimizing module inputs the adjusted drilling engineering operation plan from the early warning result quick feedback module, obtains the adjusted predicted drilling quantity, the number of production wells and the newly-built capacity, compares the adjusted predicted drilling quantity, the number of production wells and the newly-built capacity with a preset drilling frame plan, and judges whether the frame plan is met: if the drilling plan meets the requirement, the adjusted drilling engineering operation plan is used as a well drilling engineering operation plan with fixed version, and a result is output; and if not, performing iterative optimization on the main element model and/or the guarantee element model until the adjusted drilling engineering operation plan meets the drilling framework plan.
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