CN117408169A - Method for optimizing horizontal well track of shale oil reservoir based on MSE+GR curve - Google Patents
Method for optimizing horizontal well track of shale oil reservoir based on MSE+GR curve Download PDFInfo
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/30—Specific pattern of wells, e.g. optimising the spacing of wells
- E21B43/305—Specific pattern of wells, e.g. optimising the spacing of wells comprising at least one inclined or horizontal well
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Abstract
The invention belongs to the technical field of oil fast drilling, and discloses a method for optimizing a horizontal well track of a shale oil reservoir based on an MSE+GR curve. The method comprehensively evaluates the drilling-pressing-mining properties of the shale oil reservoir, and comprises the steps of grading the drillability of the shale oil reservoir, establishing a correlation model for evaluating the drillability model and the clay content of the shale oil reservoir, establishing a correlation model for oil saturation and the clay content, and establishing a high-quality shale oil reservoir evaluation standard for the comprehensive drilling-pressing-mining properties; constructing a shale oil reservoir drilling-pressing-mining evaluation model under the coupling effect of MSE and GR, and finally comprehensively evaluating the drillability, oiliness and compressibility of the shale oil reservoir; the method and the application for dynamically optimizing the horizontal well track of the shale oil reservoir based on the drilling-pressing-mining properties are to utilize application programs, combine the reservoir rock profile and optimize the horizontal well track of the shale oil reservoir in real time for field application. The invention is beneficial to optimizing horizontal well track, reducing drilling cost and improving drilling efficiency.
Description
Technical Field
The invention belongs to the technical field of oil fast drilling, and particularly relates to a method for optimizing a horizontal well track of a shale oil reservoir based on an MSE+GR curve.
Background
Shale oil is commonly developed industrially by adopting a fracturing technology mainly comprising 'subdivision cutting + large scale + slickwater', but the degree of comprehensively considering three properties of drilling-pressing and oil extraction (oil-containing) of a horizontal well section of a shale oil reservoir is not enough: the drilling and fracturing construction difficulty is increased by excessively pursuing the drilling meeting rate of the horizontal section of the shale oil reservoir and neglecting the drillability and the compressibility, so that the horizontal well track becomes more complex, and the drilling cost is increased. Therefore, the MSE+GR model is constructed on the basis of the high-quality shale oil reservoir evaluation standard of the comprehensive drilling-pressing-production attribute, and has important guiding significance for optimizing the horizontal well track.
According to the on-site drilling and logging data, a multi-element drilling speed equation is constructed, and then a correlation model between MSE and drillability can be constructed. There is a close relationship between the log GR and the shale content, and natural gamma logging data can be used to determine the shale. And secondly, establishing a correlated model of the shale content and the shale oil reservoir compressibility and oiliness, and establishing a correlated model of the logging GR and the shale oil reservoir compressibility and oiliness through the shale content. The above models can only evaluate one or two of drillability, compressibility and oiliness independently, and cannot comprehensively consider the influence of the drillability, compressibility and oiliness. Thus, there is a need for a method for comprehensively evaluating the drillability, compressibility and oiliness of shale oil reservoirs to optimize horizontal wellbore trajectories.
In the horizontal well section drilling process, the consideration factors are single, and the following problems exist: a single reservoir drillability evaluation model can improve the mechanical drilling speed, but cannot ensure that drilling meets shale oil reservoir geology-engineering; a single drilling meeting rate model can ensure the drilling meeting rate of a high-level section, but the horizontal well track is often complicated, and the drilling cost is increased. Because the oil gas development of the horizontal well section is usually matched with a hydraulic fracturing technology, the main horizontal section and the oil-containing reservoir can be effectively communicated in the fracturing process, so that the effective exploitation of the reservoir can be ensured, and the drilling rate is not required to be pursued excessively. At present, a three-attribute evaluation model for simultaneously considering the drillability, the oiliness and the compressibility of a reservoir is not known, and the horizontal well track is optimized. According to the method, an MSE+GR model is fused, and the drillability of the MSE-associated reservoir and the oiliness and the compressibility of the GR-associated reservoir are utilized to establish a set of method for optimizing the horizontal well path by considering three attributes of the reservoir, so that the situation that only the drilling speed is pursued is avoided, the reservoir development effect is ignored, meanwhile, the horizontal well section optimization does not need to excessively pursue the drilling meeting rate, the horizontal well path is as simple as possible, and the drilling construction and subsequent fracturing development are facilitated.
Through the above analysis, the problems and defects existing in the prior art are as follows: the prior art excessively pursues one or two of reservoir drillability, compressibility and oiliness, and cannot comprehensively consider the three properties, so that horizontal well tracks tend to become complex, drilling cost is increased, and drilling efficiency is low.
Disclosure of Invention
In order to overcome the problems in the related art, the invention provides a method for optimizing the horizontal well track of a shale oil reservoir based on an MSE+GR curve. The invention aims to utilize the on-site drilling, logging and while-drilling data to calculate MSE+GR in real time, comprehensively evaluate the three properties of shale oil reservoir drilling-pressing-producing and realize the purpose of dynamically optimizing horizontal well track.
The technical scheme is as follows: the method is characterized by comprising the steps of optimizing a horizontal well track of a shale oil reservoir based on an MSE+GR curve, integrating drilling, pressing and mining properties of the shale oil reservoir, and constructing a shale oil reservoir evaluation index system; the method comprises the steps of integrating the drillability, compressibility and oiliness change rules of a reservoir, and constructing an MSE+GR fusion model; the MSE+GR curve formed based on the MSE+GR fusion model optimizes the horizontal well track in real time, and specifically comprises the following steps:
s1, constructing a shale oil reservoir evaluation index system with comprehensive drilling, pressing and mining properties;
s2, obtaining serial data of the reservoir with respect to drillability, compressibility and oiliness according to the adjacent well real drilling, logging and indoor experimental analysis data, and establishing reservoir drillability, compressibility and oiliness evaluation standards; comprehensively analyzing the relation among drillability, compressibility and oiliness of the shale oil reservoir, and constructing a high-quality shale oil reservoir evaluation standard with comprehensive drilling, pressing and mining properties;
s3, constructing MSE models of different well types and underground drilling tool combination conditions by combining real drilling and logging data, and constructing a correlation model between the MSE models and the drillability of a shale oil reservoir; constructing an interpretation method of the shale content of the GR inversion reservoir while drilling, analyzing the correlation between the shale content and the oiliness and compressibility of the shale oil reservoir, constructing a GR curve and a reservoir and compressibility and oiliness correlation model through the intermediate quantity of the shale content, and constructing a correlation model between the compressibility, oiliness and logging GR through the intermediate quantity of the shale content;
s4, comprehensively analyzing the correlation among the drillability MSE, the compressibility GR and the oiliness GR of the shale oil reservoir, constructing an MSE+GR fusion model, and calculating an MSE+GR value range corresponding to the high-quality shale oil reservoir.
Further, the expression of the MSE+GR fusion model is:
；
in the method, in the process of the invention,is->Corrected +.>，/>For correction factor +.>Is not->Corrected->，/>For average log value +.>For minimum log value, +.>For the fusion index, different blocks->The values are different, and are obtained according to the analysis of adjacent well data of the specific block;
；
in the method, in the process of the invention,for the adjacent well minimum logging value, +.>For data points meeting the conditions, < > for>For each of the well-log values,for average log value +.>Is the standard deviation.
In step S1, a shale oil reservoir evaluation index system integrating drilling, pressing and production properties is constructed, including:
constructing a multi-element drilling rate equation, evaluating the rock drillability of the shale oil reservoir, and grading the drillability of the reservoir; the multiple drilling rate equation is:
；
in the method, in the process of the invention,for the drill speed->For stratum drillability coefficient,/for example>For weight on bit>Is threshold weight on bit->Is the rotation speed index>For the rotational speed->For the differential pressure influence coefficient>Is hydraulic purification coefficient>For tooth wear coefficient>Is the tooth abrasion amount.
When rock characteristics, bit type, drilling fluid properties and hydraulic powerThe time of the parameter is set up in advance,are constant and are fixed, and are determined through on-site drilling experiments and drill bit data.
In step S2, according to the adjacent well real drilling, logging and laboratory experimental analysis data, obtaining serial data of the reservoir with respect to drillability, compressibility and oiliness, including:
establishing an evaluation method for evaluating the compressibility model of the shale oil reservoir mechanical parameters through elastic modulus, poisson ratio, compressive strength and fracture toughness, analyzing and evaluating the correlation between the compressibility model and the clay content and establishing a correlation model; selecting a comprehensive compressibility evaluation influence parameter, carrying out parameter standardization treatment, and determining a weight through a analytic hierarchy process; establishing a compressibility evaluation index system from three aspects of reservoir mineral content, mechanical parameters and external confining pressure, carrying out standardization treatment on each influencing parameter, converting a parameter value range to [0,1], eliminating the influence of data magnitude difference, establishing membership functions of mineral compressibility coefficients, mechanical coefficients and confining pressure, determining weights of the three types of coefficients by using a analytic hierarchy process, and finally establishing an evaluation compressibility model, wherein the evaluation compressibility model has the expression:
；
in the method, in the process of the invention,for evaluating the compressibility model +.>Is mineral compressibility>Is a mechanical compressible coefficient->Is confining pressure;
brought-in mineral compressibilityMechanical compressibility->Pressure->Carrying out weighted summation to obtain an evaluation compressibility model; the compressibility of shale oil reservoirs is classified as very poor, medium, good, excellent; the mathematical relationship between the association model for evaluating the compressibility model and the clay content is as follows:
；
in the method, in the process of the invention,is constant and is determined according to different conditions.
The shale oil reservoir argillaceous content is analyzed through experiments, the correlation between the argillaceous content and the oil-containing saturation is analyzed, and a correlation model of the oil-containing saturation and the argillaceous content is constructed, wherein the mathematical relationship between the oil-containing content and the argillaceous content is as follows:
；
in the method, in the process of the invention,is constant and is determined according to different conditions.
In step S3, an interpretation method of the shale content of the GR inversion reservoir while drilling is constructed, and the correlation of the shale content with the oiliness and compressibility of the shale oil reservoir is analyzed, including:
the correlation model of the logging GR and the shale content adopts natural gamma logging data to calculate the shale content of the rock, and the model between the logging GR and the shale content is specifically as follows:
；
in the method, in the process of the invention,in the form of an index of the muddy content>Is natural gamma value>Is the maximum of the natural gamma of the human body,is the minimum natural gamma;
introducing averages using probability statistical theoryAnd standard deviation to find +>And->The specific formula is as follows:
；
；
；
；
in the method, in the process of the invention,is the average value of natural gamma values, +.>For all-well data of adjacent wellsTotal number of points->For each of the well-log values,is standard deviation (S)>Points are eligible data points.
In step S3, the correlation model expression between compressibility, oiliness and logging GR is:
；
；
in the method, in the process of the invention,are all constant(s)>Is natural gamma value>Is maximum natural gamma->Is the minimum natural gamma.
In step S4, an mse+gr fusion model is constructed, including:
correcting MSE by GR to form a method for comprehensively evaluating drillability, oiliness and compressibility of the shale oil reservoir; the MSE+GR fusion model correcting the MSE with GR includes: the method comprises the steps of integrating three properties of stratum drillability, reservoir compressibility and oiliness, expressing the compressibility and oiliness through logging GR, and establishing an MSE+GR fusion model to form a set of new MSE+GR expression; and determining the drilling-pressing-mining attribute characteristics of the high-quality shale oil reservoir by using an analytic hierarchy process, an expert judgment and a data driving method.
In step S4, calculating a range of mse+gr values corresponding to the high-quality shale oil reservoir, including: selecting an MSE data range according to MSE data acquired in the adjacent well drilling process, wherein the data range corresponds to a high-quality block; according to GR data acquired in the adjacent well drilling process, selecting a GR data range, and determining a minimum logging value in the range; substituting MSE and GR data into an MSE+GR fusion model expression to obtain MSE and GR data subjected to GR correction, and obtaining a range of MSE+GR values through the data.
In step S4, whether drilling, pressing and producing high-quality shale oil reservoirs are met is judged in real time by utilizing a programming application program, and the value information is fed back to the application program in real time, so that whether drilling, pressing and producing high-quality shale oil reservoirs are met is detected, and the horizontal well track of the shale oil reservoirs is dynamically optimized.
By combining all the technical schemes, the invention has the advantages and positive effects that: the method comprises the steps of comprehensively evaluating the drilling-pressing-mining attribute of the shale oil reservoir, constructing a drilling-pressing-mining evaluation model of the shale oil reservoir under the coupling action of MSE and GR, and dynamically optimizing the horizontal well track of the shale oil reservoir based on the drilling-pressing-mining attribute and application. Comprehensively evaluating the drilling-pressing-mining properties of the shale oil reservoir, wherein the comprehensive evaluation comprises grading the drillability of the shale oil reservoir, establishing a correlation model for evaluating the drillability model and the clay content of the shale oil reservoir, establishing a correlation model for the oil saturation and the clay content, and establishing a high-quality shale oil reservoir evaluation standard for the comprehensive drilling-pressing-mining properties; constructing a shale oil reservoir drilling-pressing-mining evaluation model under the coupling effect of MSE and GR, wherein the construction of the association model between MSE and shale oil reservoir drillability, the construction of an interpretation method for the shale content of a while-drilling GR inversion reservoir, the construction of a GR curve and reservoir and compressibility and oiliness association model, and finally comprehensively evaluating the drillability, oiliness and compressibility of the shale oil reservoir; the method and the application for dynamically optimizing the horizontal well track of the shale oil reservoir based on the drilling-pressing-mining properties utilize application programs, and are combined with a reservoir rock profile to dynamically optimize the horizontal well track of the shale oil reservoir for field application. The invention optimizes the horizontal well track, reduces the drilling cost and reasonably improves the drilling efficiency.
The invention reduces the drilling cost, increases the recovery ratio and improves the oil and gas yield; the MSE+GR fusion model for comprehensively evaluating the weight-on-bit production of the shale oil reservoir is constructed, so that the technical problem in the industry is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure;
FIG. 1 is a flowchart of a method for optimizing shale oil reservoir horizontal wellbore trajectories based on MSE+GR curves, provided by an embodiment of the invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments thereof which are illustrated in the appended drawings, wherein the detailed description sets forth the best understanding of the invention, but may be practiced otherwise than as specifically described herein, and wherein like modifications may be made by those skilled in the art without departing from the spirit of the invention.
The method for optimizing the horizontal well track of the shale oil reservoir based on the MSE+GR curve provided by the embodiment of the invention has the innovation points that: according to the method, three properties of drilling and compression extraction of the shale oil reservoir are comprehensively considered, and a shale oil reservoir evaluation index system is constructed; meanwhile, comprehensively considering the drillability, compressibility and oiliness change rule of the reservoir, and constructing an MSE+GR fusion model; based on MSE+GR curves, a set of shale oil reservoir horizontal well track optimization method is formed, and theoretical guidance is provided for optimizing horizontal well tracks in real time and improving fracturing yield increasing effects. The expression of the MSE+GR fusion model is as follows:
；
in the method, in the process of the invention,is->Corrected +.>；/>The value of the correction coefficient is 0.8-1; />Is not->Corrected->，/>For average log value +.>For minimum log value, +.>The fusion index is obtained by analyzing adjacent well data of a specific block according to different block values;
；
in the method, in the process of the invention,for the adjacent well minimum logging value, +.>For data points meeting the conditions, < > for>For each of the well-log values,average log,/->Is the standard deviation.
Specifically, in the horizontal well section drilling process, the consideration factors are single, and the following problems exist in the prior art: a single reservoir drillability evaluation model can improve the mechanical drilling speed, but cannot ensure that drilling meets a production beneficial region; a single drilling meeting rate model can ensure the drilling meeting rate of a high-level section, but the horizontal well track is often complicated, and the drilling cost is increased. Because the oil gas development of the horizontal well section is usually matched with a hydraulic fracturing technology, the main horizontal section and the oil-containing reservoir can be effectively communicated in the fracturing process, so that the effective exploitation of the reservoir can be ensured, and the drilling rate is not required to be pursued excessively. At present, a three-attribute evaluation model for simultaneously considering the drillability, the oiliness and the compressibility of a reservoir is not known, and the horizontal well track is optimized. According to the method, an MSE+GR model is fused, and the drillability of the MSE-associated reservoir and the oiliness and the compressibility of the GR-associated reservoir are utilized to establish a set of method for optimizing the horizontal well path by considering three attributes of the reservoir, so that the situation that only the drilling speed is pursued is avoided, the reservoir development effect is ignored, meanwhile, the horizontal well section optimization does not need to excessively pursue the drilling meeting rate, the horizontal well path is as simple as possible, and the drilling construction and subsequent fracturing development are facilitated.
Embodiment 1 as shown in fig. 1, the method for optimizing the horizontal wellbore trajectory of the shale oil reservoir based on the mse+gr curve provided by the embodiment of the invention comprises the following steps:
s1, constructing a shale oil reservoir evaluation index system with comprehensive drilling, pressing and mining properties;
s2, obtaining serial data of the reservoir with respect to drillability, compressibility and oiliness according to the adjacent well real drilling, logging and indoor experimental analysis data, and establishing reservoir drillability, compressibility and oiliness evaluation standards; comprehensively analyzing the relation among drillability, compressibility and oiliness of the shale oil reservoir, and constructing a high-quality shale oil reservoir evaluation standard with comprehensive drilling, pressing and mining properties;
s3, constructing MSE models of different well types and underground drilling tool combination conditions by combining real drilling and logging data, and constructing a correlation model between the MSE models and the drillability of a shale oil reservoir; constructing an interpretation method of the shale content of the GR inversion reservoir while drilling, analyzing the correlation between the shale content and the oiliness and compressibility of the shale oil reservoir, constructing a GR curve and a reservoir and compressibility and oiliness correlation model through the intermediate quantity of the shale content, and constructing a correlation model between the compressibility, oiliness and logging GR through the intermediate quantity of the shale content;
s4, comprehensively analyzing the correlation among the drillability MSE, the compressibility GR and the oiliness GR of the shale oil reservoir, constructing an MSE+GR fusion model, and calculating an MSE+GR value range corresponding to the high-quality shale oil reservoir.
According to the embodiment, the drillability, the compressibility and the oiliness of the shale oil reservoir can be comprehensively evaluated; the comprehensive evaluation of the drillability, the compressibility and the oiliness of the shale oil reservoir lays a foundation for optimizing the horizontal well track in real time; according to the invention, an MSE+GR fusion model is provided for the first time, and the drillability, the compressibility and the oiliness of the shale oil reservoir are comprehensively evaluated through an MSE and drillability association model, a GR, the compressibility and the oiliness association model.
According to the embodiment, the drillability, the compressibility and the oiliness of the shale oil reservoir can be comprehensively evaluated; the comprehensive evaluation of the drillability, the compressibility and the oiliness of the shale oil reservoir lays a foundation for optimizing the horizontal well track in real time; according to the invention, an MSE+GR fusion model is provided for the first time, and the drillability, the compressibility and the oiliness of the shale oil reservoir are comprehensively evaluated through an MSE and drillability association model, a GR, the compressibility and the oiliness association model.
Example 2 as another embodiment of the present invention, there has been no method for optimizing horizontal wellbore trajectories by comprehensively evaluating drillability, compressibility and oiliness of shale oil reservoirs, which often complicates wellbore trajectories and increases drilling costs. The method optimizes the horizontal well track in real time based on an MSE+GR fusion model for comprehensively evaluating the drillability, compressibility and oiliness of the shale oil reservoir; the method for optimizing the horizontal well track of the shale oil reservoir based on the MSE+GR curve comprises the following steps:
firstly, comprehensively evaluating drilling-pressing-mining properties of a shale oil reservoir; according to on-site drilling and logging information, taking parameters such as rock drillability, drilling speed, drilling weight, rotating speed, drill bit and the like into consideration, constructing a multi-element drilling speed equation, evaluating the rock drillability of the shale oil reservoir, and laying a foundation for establishing a model of association between drillability and MSE;
the rate of penetration equation requires multiple parameters, weight on bitThreshold weight on bit->Rotation speed->Stratum drillability coefficient->Index of rotation speed->Differential pressure influence coefficient->Hydraulic purification coefficient->When the rock properties, bit type, drilling fluid properties and hydraulic parameters are defined, the +.>Are constant and can be determined by on-site drilling experiments and drill bit data;
the drilling rate equation is a modified poplar mode, namely:
；
in the method, in the process of the invention,for the drill speed->For stratum drillability coefficient,/for example>Is weight on bit，/>Is threshold weight on bit->Is the rotation speed index>For the rotational speed->For the differential pressure influence coefficient>Is the hydraulic purification coefficient; />The tooth wear coefficient is related to the tooth shape structure and rock property of the drill bit in value and is obtained by on-site data statistics; />For tooth wear, expressed as the relative wear height of the tooth, i.e. the ratio of the wear-out height to the original height, new bit +.>When the teeth are worn completely +.>。
Step two, in the embodiment of the invention, according to the adjacent well real drilling, logging and indoor experimental analysis data, obtaining serial data of the reservoir layer about drillability, compressibility and oiliness, wherein the serial data comprises the following steps: establishing an evaluation method for evaluating the compressibility model of the shale oil reservoir mechanical parameters through elastic modulus, poisson ratio, compressive strength and fracture toughness, analyzing and evaluating the correlation between the compressibility model and the clay content and establishing a correlation model; selecting a comprehensive compressibility evaluation influence parameter, carrying out parameter standardization treatment, and determining a weight through a analytic hierarchy process; establishing a compressibility evaluation index system from three aspects of reservoir mineral content, mechanical parameters and external confining pressure, carrying out standardization treatment on each influencing parameter, converting a parameter value range to [0,1], eliminating the influence of data magnitude difference, establishing membership functions of mineral compressibility coefficients, mechanical coefficients and confining pressure, determining weights of the three types of coefficients by using a analytic hierarchy process, and finally establishing an evaluation compressibility model, wherein the evaluation compressibility model has the expression:
；
in the method, in the process of the invention,for evaluating the compressibility model +.>Is mineral compressibility>Is a mechanical compressible coefficient->Is confining pressure;
brought-in mineral compressibilityMechanical compressibility->Pressure->The weighted summation is carried out to obtain an evaluation compressibility model, and a group of data is obtained;
in the embodiment of the invention, the compressibility of the shale oil reservoir is classified into 5 grades, namely very poor, medium, good and very good;
in the embodiment of the invention, shale oil reservoir adjacent well data and experimental analysis are carried out to obtain shale oil reservoir mechanical parameters including elastic modulus, poisson ratio, compressive strength, fracture toughness and the like, and the shale oil reservoir argillaceous content is analyzed through experiments to obtain a group of data of argillaceous content;
analysis finds that positive correlation exists between the two groups of data of the muddy content and the evaluation compressibility model, and the mathematical relationship of the correlation model of the evaluation compressibility model and the muddy content is as follows:
；
in the method, in the process of the invention,is constant and is determined according to different conditions.
Analyzing shale oil reservoir and occurrence characteristics by utilizing adjacent well data, determining shale oil saturation characteristics, analyzing shale oil reservoir shale content by experiments, analyzing the correlation between the shale oil reservoir shale content and the shale oil saturation, and constructing a correlation model of the shale oil saturation and the shale oil content;
the construction of the correlation model of the oil saturation and the shale content comprises the steps of firstly carrying out an indoor physical property evaluation experiment and analyzing the oil content of a shale oil reservoir to obtain a group of data;
the analysis finds that the mathematical relationship between the oiliness and the argillaceous content is established as follows:
；
in the method, in the process of the invention,is constant and is determined according to different conditions;
i.e. correlation model of oil saturation and clay content under different conditionsThe values are different and require specific determination.
Analyzing main control factors corresponding to drilling-pressing-collecting attributes of the shale oil reservoir, comprehensively characterizing the drillability, the compressibility and the oiliness of the shale oil reservoir, and constructing a high-quality shale oil reservoir evaluation standard of the comprehensive drilling-pressing-collecting attributes;
secondly, constructing a shale oil reservoir drilling-pressing-mining evaluation model under the coupling action of MSE and GR;
the traditional MSE model has a narrower engineering dessert range (1500-2000 Mpa), but the MSE+GR model expands the engineering dessert range to 1000-2000Mpa, and the borehole track is contained in the range as far as possible, so that the borehole track is not complicated by simply considering one factor among the drillability, the compressibility and the oiliness of a reservoir, and the MSE+GR model is a smooth curve in the engineering dessert range, so that the drilling difficulty is greatly reduced as long as the MSE+GR value is in the engineering dessert range, and the drilling can be carried out along the horizontal drilling;
the evaluation model judges the drillability, compressibility and oiliness of the shale oil reservoir through MSE and GR, and determines whether the layer has drillable value, and when the MSE+GR value is within the engineering dessert range (1000-2000 Mpa), the drill bit can continue drilling.
In the embodiment of the invention, constructing a shale oil reservoir drilling-pressing-mining evaluation model under the coupling action of MSE and GR specifically comprises the following steps:
step 1, establishing a multi-element drilling speed equation by combining real drilling and logging data including factors such as well inclination angle, drilling pressure, rotating speed, displacement, drilling speed, drill bit size and the like, and inverting a traditional MSE model through the drilling speed equation.
There is a correlation between the drilling rate equation and drillability, i.e. the greater the drilling rate, the better the drillability, and the two are positively correlated;
step 2, calibrating the drillability level number by using the stratum drillability coefficient;
further, the traditional MSE model can be inverted through a drilling rate equation, and a correlation model between MSE and drillability can be established:
；
in the method, in the process of the invention,for mechanical specific energy->For weight on bit>For the area of the drill bit>For the sliding friction coefficient>The numerical value of the tooth wear coefficient is related to the tooth shape structure and rock property of the drill bit, and the tooth wear coefficient is required to be obtained by on-site data statistics; />For tooth wear, expressed as the desired degree of wear of the tooth, i.e. the ratio of worn-out height to original height, new bit +.>When the teeth are worn completely +.>；/>For the diameter of the drill bit>For stratum drillability coefficient,/for example>For the rotational speed->Is the rotation speed index of the motor,for the differential pressure influence coefficient>Is the hydraulic purification coefficient; when the rock property, the bit type, the drilling fluid property and the hydraulic parameter are fixed/>Are constant and are fixed, and are determined through on-site drilling experiments and drill bit data.
Step 3, analyzing the correlation between the gamma curve while drilling and the shale oil reservoir argillnesses, constructing an interpretation method of the shale oil reservoir argillnesses while drilling, and constructing a GR curve and reservoir and compressibility and oiliness correlation model by utilizing the correlation between the argillnesses and the oiliness and compressibility of the shale oil reservoir;
the logging GR and the shale content correlation model select natural gamma logging data to calculate the shale content of the rock, and calculate the shale by using the natural gamma logging data;
the clay content can be calculated through the maximum natural gamma and the minimum natural gamma and natural gamma values;
further analyzing parameters, wherein the distribution of GR values can be basically regarded as obeying normal distribution, introducing an average GR and a standard deviation by utilizing a probability statistics theory, and calculating the maximum natural gamma and the minimum natural gamma by the average GR and the standard deviation;
the model between the logging GR and the clay content is specifically as follows:
；
in the method, in the process of the invention,the unit is in the form of an index of the clay content; />Is a natural gamma value, and has the unit of API; />The unit is API (application program interface) for maximum natural gamma; />The unit is API for minimum natural gamma; GR after analysis of natural gamma log curves for some wellsThe distribution of GR values can be seen as essentially following a normal distribution with low and high values of values, i.e. with few well sections belonging to purer sandstones and mudstones in the whole well, mostly formations mixed with sand and mudstones. The mean value and standard deviation can be introduced by using the probability statistical theory to find +.>And->The specific formula is as follows:
；
；
；
；
in the method, in the process of the invention,for each log value, < >>Is standard deviation (S)>For data points meeting the conditions, < > for>Is the average value of natural gamma values, +.>Is the total number of data points for the whole well.
Step 4, respectively establishing a correlation model among compressibility, oiliness and clay content through the intermediate variable of clay content;
the correlation model between the compressibility, the oiliness and the logging GR is derived by a formula:
；
；
in the method, in the process of the invention,are all constant(s)>Is natural gamma value>Is maximum natural gamma->Is the minimum natural gamma.
Step 5, respectively analyzing the drillability-MSE, compressibility-GR and oiliness-GR correlation of the shale oil reservoir, constructing an MSE+GR fusion model, forming a set of shale oil reservoir horizontal segment MSE+GR benchmark calculation method, and comprehensively evaluating the drillability, oiliness and compressibility of the shale oil reservoir;
it can be understood that the MSE+GR fusion model is a method for modifying the MSE by utilizing GR to form a set of comprehensive evaluation methods for drillability, oiliness and compressibility of the shale oil reservoir;
the method is characterized in that the formation drillability is only considered in the conventional drilling process, and the reservoir drillability and the reservoir oiliness are not considered.
Constructing an MSE+GR fusion model; the calculating of the MSE+GR value range corresponding to the high-quality shale oil reservoir comprises the following steps:
the MSE has correlation with drillability, namely, the larger the MSE is, the harder the drillability degree is, and a reasonable MSE data range is selected according to MSE data acquired in the drilling process of an adjacent well, wherein the data range corresponds to a high-quality block. And selecting a reasonable GR data range according to GR data acquired in the adjacent well drilling process, and determining a minimum logging value in the range. And substituting a series of MSE and GR data into the MSE+GR fusion model expression to obtain a series of GR data subjected to GR correction, and obtaining the range of MSE+GR values through the series of data.
Step 6, finally, a shale oil reservoir horizontal well track dynamic optimization method based on drilling-pressing-mining properties and application thereof;
in the embodiment of the invention, the drilling-pressing-mining attribute characteristics of the high-quality shale oil reservoir are defined by utilizing theoretical methods such as an analytic hierarchy process, expert judgment and a data driving method, and the MSE+GR value range corresponding to the high-quality shale oil reservoir is calculated;
further, a horizontal interval MSE+GR curve is calculated in real time according to logging while drilling data. Calculating the mechanical specific energy profile of the horizontal well section in real time, judging whether drilling-pressing-producing high-quality shale oil reservoirs are met according to the change characteristics of the solid drilling MSE+GR curve, programming an application program, combining the reservoir rock profile, and dynamically optimizing the horizontal well track of the shale oil reservoirs to enable the horizontal well section to meet engineering conditions such as drillability, pressability, oil content and the like;
further, the on-site application is carried out by the method for evaluating the drilling condition of the reservoir stratum and dynamically optimizing the track of the horizontal section well in real time on the MSE+GR curve, and the application effect is analyzed.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
The content of the information interaction and the execution process between the devices/units and the like is based on the same conception as the method embodiment of the present invention, and specific functions and technical effects brought by the content can be referred to in the method embodiment section, and will not be described herein.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present invention. For specific working processes of the units and modules in the system, reference may be made to corresponding processes in the foregoing method embodiments.
The embodiment of the invention also provides a computer device, which comprises: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, which when executed by the processor performs the steps of any of the various method embodiments described above.
Embodiments of the present invention also provide a computer readable storage medium storing a computer program which, when executed by a processor, performs the steps of the respective method embodiments described above.
The embodiment of the invention also provides an information data processing terminal, which is used for providing a user input interface to implement the steps in the method embodiments when being implemented on an electronic device, and the information data processing terminal is not limited to a mobile phone, a computer and a switch.
The embodiment of the invention also provides a server, which is used for realizing the steps in the method embodiments when being executed on the electronic device and providing a user input interface.
Embodiments of the present invention provide a computer program product which, when run on an electronic device, causes the electronic device to perform the steps of the method embodiments described above.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application implements all or part of the flow of the method of the above embodiments, and may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing device/terminal apparatus, recording medium, computer Memory, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), electrical carrier signals, telecommunications signals, and software distribution media. Such as a U-disk, removable hard disk, magnetic or optical disk, etc.
To further illustrate the effects associated with the embodiments of the present invention, the following experiments were performed. Taking a certain well of a certain block as an example: the change of the drilling speed can cause the change of the drillability coefficient of the stratum, and the drillability degree of the stratum is classified according to the drillability coefficient of the stratum corresponding to the drilling speed and divided into five stages; and constructing a correlation model of the MSE and the drillability of the well through the relation between the drilling speed equation and the MSE and the drillability respectively, and deriving through a mathematical formula to obtain the correlation model of the MSE and the drillability.
According to a series of drillability data corresponding to the adjacent well high-quality block, a series of MSE data can be calculated; obtaining a compressibility coefficient K1=2.4 and an oiliness coefficient K2=3.1 according to adjacent well drilling and logging data; the correlation model of the logging GR and the compressibility and oiliness can be deduced through the correlation model of the logging GR and the argillaceous content and the correlation model of the argillaceous content and the compressibility and oiliness respectively, and a series of logging GR can be calculated according to a series of compressibility and oiliness data corresponding to the adjacent well high-quality block.
Establishing an MSE formula after GR correction through MSE and GR data analysis; substituting the two groups of MSE and GR data into the fusion model expression to obtain the engineering dessert with the range of 1000-2000Mpa; before the compressibility and oiliness of the reservoir are not considered, the engineering dessert range of the well drilling is calculated to be 1000-2000Mpa by taking the MSE size into account only through the well adjacent well drilling and logging data.
When the drill bit starts to drill, the information of the drill bit and the surface of the drill bit can be transmitted to a written program in real time for data analysis, and whether the drill bit drills in the range of engineering desserts at the moment is judged: if so, the program sends an instruction to the drill bit, and the drill bit continues to drill; if not, the program also gives instructions to the drill bit, the drill bit stops drilling, and after the direction is adjusted, the program judges whether the drill bit at the moment enters the range of the engineering dessert. The three properties of the reservoir are evaluated through the MSE+GR fusion model, the range of engineering dessert is enlarged, the drill bit drills according to a simple track as much as possible, whether the drill bit is in the range of the engineering dessert is analyzed in real time, and the drilling direction of the drill bit is adjusted in real time.
While the invention has been described with respect to what is presently considered to be the most practical and preferred embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (9)
1. A method for optimizing horizontal well track of shale oil reservoir based on MSE+GR curve is characterized in that the method combines drilling, pressing and mining properties of shale oil reservoir to construct a shale oil reservoir evaluation index system; the method comprises the steps of integrating the drillability, compressibility and oiliness change rules of a reservoir, and constructing an MSE+GR fusion model; the MSE+GR curve formed based on the MSE+GR fusion model optimizes the horizontal well track in real time, and specifically comprises the following steps:
s1, constructing a shale oil reservoir evaluation index system with comprehensive drilling, pressing and mining properties;
s2, obtaining serial data of the reservoir with respect to drillability, compressibility and oiliness according to the adjacent well real drilling, logging and indoor experimental analysis data, and establishing reservoir drillability, compressibility and oiliness evaluation standards; comprehensively analyzing the relation among drillability, compressibility and oiliness of the shale oil reservoir, and constructing a high-quality shale oil reservoir evaluation standard with comprehensive drilling, pressing and mining properties;
s3, constructing MSE models of different well types and underground drilling tool combination conditions by combining real drilling and logging data, and constructing a correlation model between the MSE models and the drillability of a shale oil reservoir; constructing an interpretation method of the shale content of the inversion reservoir while drilling GR, analyzing the correlation between the shale content and the oiliness and compressibility of the shale oil reservoir, and constructing a correlation model between the compressibility, oiliness and logging GR through the intermediate quantity of the shale content;
s4, comprehensively analyzing the correlation among the drillability MSE, the compressibility GR and the oiliness GR of the shale oil reservoir, constructing an MSE+GR fusion model, and calculating an MSE+GR value range corresponding to the high-quality shale oil reservoir.
2. The method for optimizing shale oil reservoir horizontal wellbore trajectory based on mse+gr curves according to claim 1, wherein the expression of the mse+gr fusion model is:
；
in the method, in the process of the invention,is->Corrected +.>，/>For correction factor +.>Is not->Corrected (corrected)，/>For average log value +.>For minimum log value, +.>For the fusion index, different blocks->The values are different, and are obtained according to the analysis of adjacent well data of the specific block;
；
in the method, in the process of the invention,for the adjacent well minimum logging value, +.>For data points meeting the conditions, < > for>For each log value, < >>For average log value +.>Is the standard deviation.
3. The method for optimizing shale oil reservoir horizontal wellbore trajectory based on mse+gr curves according to claim 1, wherein in step S1, a shale oil reservoir evaluation index system integrating drilling, fracturing and producing properties is constructed, comprising:
constructing a multi-element drilling rate equation, evaluating the rock drillability of the shale oil reservoir, and grading the drillability of the reservoir; the multiple drilling rate equation is:
；
in the method, in the process of the invention,for the drill speed->For stratum drillability coefficient,/for example>For weight on bit>Is threshold weight on bit->Is the rotation speed index>For the rotational speed->For the differential pressure influence coefficient>Is hydraulic purification coefficient>For tooth wear coefficient>Is the tooth abrasion amount;
when the rock characteristics, the bit type, the drilling fluid performance and the hydraulic parameters are fixed, the constant is fixed, and the drilling parameters are determined through on-site drilling experiments and bit data.
4. The method for optimizing shale oil reservoir horizontal wellbore trajectory based on mse+gr curves according to claim 1, wherein in step S2, based on adjacent well real drilling, logging, and laboratory analysis data, serial data of reservoir with respect to drillability, compressibility, and oiliness is obtained, comprising:
establishing an evaluation method for evaluating the compressibility model of the shale oil reservoir mechanical parameters through elastic modulus, poisson ratio, compressive strength and fracture toughness, analyzing and evaluating the correlation between the compressibility model and the clay content and establishing a correlation model; selecting a comprehensive compressibility evaluation influence parameter, carrying out parameter standardization treatment, and determining a weight through a analytic hierarchy process; establishing a compressibility evaluation index system from three aspects of reservoir mineral content, mechanical parameters and external confining pressure, carrying out standardization treatment on each influencing parameter, converting a parameter value range to [0,1], eliminating the influence of data magnitude difference, establishing membership functions of mineral compressibility coefficients, mechanical coefficients and confining pressure, determining weights of the three types of coefficients by using a analytic hierarchy process, and finally establishing an evaluation compressibility model, wherein the evaluation compressibility model has the expression:
；
in the method, in the process of the invention,for evaluating the compressibility model +.>Is mineral compressibility>Is a mechanical compressible coefficient->Is confining pressure;
brought-in mineral compressibilityMechanical compressibility->Pressure->Carrying out weighted summation to obtain an evaluation compressibility model; the compressibility of shale oil reservoirs is classified as very poor, medium, good, excellent; the mathematical relationship between the association model for evaluating the compressibility model and the clay content is as follows:
；
in the method, in the process of the invention,is constant and is determined according to different conditions;
the shale oil reservoir argillaceous content is analyzed through experiments, the correlation between the argillaceous content and the oil-containing saturation is analyzed, and a correlation model of the oil-containing saturation and the argillaceous content is constructed, wherein the mathematical relationship between the oil-containing content and the argillaceous content is as follows:
；
in the method, in the process of the invention,is constant and is determined according to different conditions.
5. The method for optimizing shale oil reservoir horizontal wellbore trajectory based on mse+gr curves according to claim 1, wherein in step S3, an interpretation method of the shale content of the GR inversion while drilling reservoir is constructed, and the correlation of the shale content with the oil content and the compressibility of the shale oil reservoir is analyzed, comprising:
the correlation model of the logging GR and the shale content adopts natural gamma logging data to calculate the shale content of the rock, and the model between the logging GR and the shale content is specifically as follows:
；
in the method, in the process of the invention,in the form of an index of the muddy content>Is natural gamma value>Is maximum natural gamma->Is the minimum natural gamma;
introducing averages using probability statistical theoryAnd standard deviation to find +>And->The specific formula is as follows:
；
；
；
；
in the method, in the process of the invention,is the average value of natural gamma values, +.>Total number of data points of adjacent wells in whole well, +.>For each log value, < >>Is standard deviation (S)>Points are eligible data points.
6. The method of optimizing shale oil reservoir horizontal wellbore trajectory based on mse+gr curves according to claim 1, wherein in step S3, the correlation model expression between compressibility, oleaginous properties and logging GR is:
；
；
in the method, in the process of the invention,are all constant(s)>Is natural gamma value>Is maximum natural gamma->Is the minimum natural gamma.
7. The method for optimizing shale oil reservoir horizontal wellbore trajectory based on mse+gr curves according to claim 1, wherein in step S4, constructing an mse+gr fusion model comprises:
correcting MSE by GR to form a method for comprehensively evaluating drillability, oiliness and compressibility of the shale oil reservoir; the MSE+GR fusion model correcting the MSE with GR includes: the method comprises the steps of integrating three properties of stratum drillability, reservoir compressibility and oiliness, expressing the compressibility and oiliness through logging GR, and establishing an MSE+GR fusion model to form a set of new MSE+GR expression; and determining the drilling-pressing-mining attribute characteristics of the high-quality shale oil reservoir by using an analytic hierarchy process, an expert judgment and a data driving method.
8. The method for optimizing shale oil reservoir horizontal wellbore trajectory based on the mse+gr curve according to claim 1, wherein in step S4, calculating the mse+gr value range corresponding to the premium shale oil reservoir comprises: selecting an MSE data range according to MSE data acquired in the adjacent well drilling process, wherein the data range corresponds to a high-quality block; according to GR data acquired in the adjacent well drilling process, selecting a GR data range, and determining a minimum logging value in the range; substituting MSE and GR data into an MSE+GR fusion model expression to obtain MSE and GR data subjected to GR correction, and obtaining a range of MSE+GR values through the data.
9. The method for optimizing shale oil reservoir horizontal wellbore trajectories based on the MSE+GR curves according to claim 8, wherein in step S4, whether drilling, pressing and producing high-quality shale oil reservoirs are encountered is determined in real time by utilizing a programming application program, and the value information is fed back to the application program in real time, whether drilling, pressing and producing high-quality shale oil reservoirs are encountered is detected, and the shale oil reservoir horizontal wellbore trajectories are dynamically optimized.
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