CN113093275A

CN113093275A - Method and device for improving drilling success rate of oil field in meandering stream and meandering stream delta

Info

Publication number: CN113093275A
Application number: CN202010021458.0A
Authority: CN
Inventors: 范兴燕
Original assignee: Petrochina Co Ltd
Current assignee: Petrochina Co Ltd
Priority date: 2020-01-09
Filing date: 2020-01-09
Publication date: 2021-07-09
Anticipated expiration: 2040-01-09
Also published as: CN113093275B

Abstract

The invention provides a method and a device for improving the drilling success rate of a meandering river and a meandering river delta oil field, wherein the method comprises the following steps: generating an automatic tracking horizon result of the target horizon according to the logging data, the layering data, the oil testing data, the seismic data and the horizon interpretation data of the historical wells of the oilfield of the meandering river and the Delta of the meandering river; determining the geophysical response characteristics of reservoirs and non-reservoirs of the meandering river and the meandering river delta oil field according to the core data, the logging data and the logging data; and improving the drilling success rate of the meandering stream and the meandering stream delta oil field according to the geophysical response characteristics of the reservoir and the non-reservoir and an automatic horizon tracking result. The invention avoids research misdirection and misjudgment on conclusion which are possibly brought by one-sided cognition, can help oil gas prediction work and optimize favorable targets, and directly serves for increasing production and storing oil gas fields and improving economic benefits.

Description

Method and device for improving drilling success rate of oil field in meandering stream and meandering stream delta

Technical Field

The invention relates to the field of petroleum and natural gas exploration and development, in particular to a technology for seismic data utilization efficiency, and specifically relates to a method and a device for improving the drilling success rate of a meandering river and a meandering river delta oil field.

Background

Lithologic oil and gas reservoirs (such as oil fields in the Qu Rui river and the Qu Rui river Delta) have fast lithologic change and complex and various reservoir formation modes, in order to meet the requirement of increasing production and storing of the oil and gas fields, reservoir formation analysis is carried out on drilled wells, reservoir formation main control factors and reservoir formation modes of the oil and gas reservoirs are determined, and the work can guide other follow-up earthquake and geological research works, and provides a solid and reliable theoretical basis for optimizing targets. According to the industry standard of the people's republic of China, the related standard of the analysis of the oil-gas reservoir formation is lacked in the prior art according to the national oil and gas standard (SY/T5938-. Conventional analysis methods for lithologic hydrocarbon reservoir formation include generation, storage, cap combination and migration channel research.

The conventional reservoir formation analysis method has wide applicability under the conditions of fewer target layers and fewer drilled wells. However, with the continuous deepening of the exploration and development degree of the oil and gas field, the vertical target layers are more, the drilled quantity is the general current situation of the exploration and development of the oil and gas field, the conventional reservoir formation analysis needs to know different drilled layers, faults, traps, reservoirs, storage conditions and the like to realize the whole knowledge of a research area, otherwise, the reservoir formation knowledge is limited and approximate. However, to do the above, the workload of the conventional method for analyzing the elements of the reservoir is huge, and in addition, the time problem caused by the workload is a problem which the oil and gas researchers have to consider.

Disclosure of Invention

Aiming at the problems in the prior art, the method and the device for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta can obtain the reservoir formation element and reservoir formation mode analysis results, avoid the study misleading and misjudgment on the conclusion possibly brought by one-sided cognition, and can well play a leading and guiding role in other reservoir formation cognition, oil gas cognition and the like, thereby helping the oil gas prediction work and optimizing favorable targets, and directly providing the services of increasing production, storing up and improving economic benefits for the oil gas field.

In order to solve the technical problems, the invention provides the following technical scheme:

in a first aspect, the invention provides a method for improving the drilling success rate of a meandering river and a meandering river delta oil field, which comprises the following steps:

generating an automatic tracking horizon result of the target horizon according to the logging data, the layering data, the oil testing data, the seismic data and the horizon interpretation data of the historical wells of the oilfield of the meandering river and the Delta of the meandering river;

determining the geophysical response characteristics of reservoirs and non-reservoirs of the meandering river and the meandering river delta oil fields according to the core data, the logging data and the logging data;

and improving the drilling success rate of the oil fields of the meandering stream and the meandering stream delta according to the geophysical response characteristics of the reservoir and the non-reservoir and an automatic horizon tracking result.

In an embodiment, the generating an automatic horizon tracking result of the target horizon according to the logging data, the layering data, the oil testing data, the seismic data and the horizon interpretation data of the historical wells of the oilfield in the meandering river and the meandering river delta comprises:

making a synthetic seismic record according to the logging data, the layering data, the oil testing data, the seismic data and the horizon interpretation data of the historical wells of the oil fields of the meandering river and the delta of the meandering river;

determining a transverse well-connecting contrast matching well-seismic relation and wave group characteristics of a typical layer interface according to the synthetic seismic record;

determining the wave group characteristics of the target layer interface according to the transverse well-connecting comparison matching well-seismic relationship and the wave group characteristics of the typical layer interface;

and automatically tracking a top-bottom range and the wave group characteristics of the target layer interface according to preset seismic data by using a seismic isochronal method to generate an automatic tracking horizon result of the target layer.

In an embodiment, the determining the geophysical response characteristics of the reservoirs and non-reservoirs of the meandering stream and the meandering stream delta oil fields according to the core data, the logging data, and the logging data includes:

determining the geophysical response characteristics of sand and mudstone of the oil fields of the meandering river and the Delta of the meandering river according to the core data, the logging data and the logging data;

and determining the geophysical response characteristics of the reservoirs and non-reservoirs of the meandering river and the meandering river delta oil fields according to the geophysical response characteristics of the sand and the mudstone.

In one embodiment, the method for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta further comprises the following steps:

and generating transverse and plane spread data of the reservoir according to the wave group characteristics of the reservoir.

In one embodiment, the generating lateral and planar spread data of the reservoir according to the wave group characteristics of the reservoir comprises:

selecting seismic sensitivity attributes according to the wave group characteristics of the reservoir;

calculating the sensitive earthquake attribute body of the target layer according to the earthquake sensitive data;

and generating transverse and plane spread data of the reservoir according to the sensitive seismic attribute body of the target layer.

determining the target depth data according to the automatic tracking horizon result;

and when the overlying stratum of the target layer has a speed abnormal body, performing time-depth conversion.

and determining fault plane distribution data of the meandering stream and the meandering stream delta oil field.

In one embodiment, the determining fault plane spread data of the oil field of the meandering stream and the meandering stream delta comprises:

extracting the coherence and dip angle parameters of the oil fields of the meandering stream and the meandering stream delta,

and determining fault plane distribution data of the meandering stream and the meandering stream delta oil field according to the coherence and inclination parameters.

and judging whether the type of the oil field of the meandering river and the meandering river delta is a structural trap or not according to the automatic tracking horizon result, the geophysical response characteristics of the reservoir and the non-reservoir, the depth data and the fault plane spread data.

In a second aspect, the present invention provides a device for improving the drilling success rate of an oil field in a meandering river or a meandering river delta, the device comprising:

the horizon result generating unit is used for generating an automatic tracking horizon result of the target horizon according to the logging data, the layering data, the oil testing data, the seismic data and the horizon interpretation data of the historical wells of the oil fields of the meandering stream and the Delta of the meandering stream;

the characteristic determining unit is used for determining the geophysical response characteristics of reservoirs and non-reservoirs of the meandering river and meandering river delta oil fields according to the core data, the logging data and the logging data;

and the drilling success rate improving unit is used for improving the drilling success rate of the oil fields of the meandering stream and the Delta of the meandering stream according to the geophysical response characteristics of the reservoir and the non-reservoir and an automatic horizon tracking result.

In one embodiment, the horizon result generating unit includes:

the synthetic seismic record making module is used for making a synthetic seismic record according to the logging data, the layered data, the oil test data, the seismic data and the horizon interpretation data of the historical wells of the oil fields of the meandering river and the Delta of the meandering river;

a wave group characteristic determination first module for determining a transverse well-connecting contrast matching well-seismic relationship and a wave group characteristic of a typical layer interface according to the synthetic seismic record;

the second wave group characteristic determination module is used for determining the wave group characteristics of the target layer interface according to the transverse well-connecting contrast matching well-seismic relation and the wave group characteristics of the typical layer interface;

and the horizon result generating module is used for automatically tracking a top-bottom range according to preset seismic data and generating an automatic tracking horizon result of the target layer according to the wave group characteristics of the target layer interface by using an earthquake isochronal method.

In one embodiment, the feature determination unit includes:

a physical response characteristic determination first module, which is used for determining the geophysical response characteristics of sand and mudstone in the oilfield of the meandering river and the delta of the meandering river according to the core data, the logging data and the logging data;

and the physical response characteristic determination second module is used for determining the geophysical response characteristics of the reservoirs and non-reservoirs of the meandering river and the meandering river delta oil fields according to the sand and mudstone geophysical response characteristics.

In one embodiment, the device for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta further comprises:

and the plane spread data generation unit is used for generating the transverse and plane spread data of the reservoir according to the wave group characteristics of the reservoir.

In one embodiment, the plane spread data generating unit includes:

the earthquake sensitive attribute selection module is used for selecting earthquake sensitive attributes according to the wave group characteristics of the reservoir;

the sensitive seismic attribute body calculation module is used for calculating the sensitive seismic attribute body of the target layer according to the seismic sensitive data;

and the plane spread data generation module is used for generating the transverse and plane spread data of the reservoir according to the target layer sensitive seismic attribute body.

a depth data determination unit for determining the target depth data according to the automatic tracking horizon result;

and the time-depth conversion unit is used for performing time-depth conversion when a velocity anomaly body exists in the overburden on the target layer.

and the fault plane spread data determining unit is used for determining the fault plane spread data of the meandering stream and the meandering stream delta oil field.

In one embodiment, the tomographic plane spread data determination unit includes:

an inclination parameter extraction module for extracting coherence and inclination parameters of the meandering stream and the meandering stream delta oil field,

and the fault plane spread data determining module is used for determining the fault plane spread data of the meandering stream and the meandering stream delta oil field according to the coherence and inclination parameters.

and the structure trap judging unit is used for judging whether the types of the oil fields of the meandering river and the meandering river delta are the structure traps or not according to the automatic tracking horizon result, the geophysical response characteristics of the reservoir and the non-reservoir, the depth data and the fault plane spread data.

In a third aspect, the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the steps of the method for improving the drilling success rate of the oil field in the meandering stream and the delta of the meandering stream when executing the program.

In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method for improving the drilling success rate of a meandering river or a meandering river delta oil field.

From the above description, the method and the device for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta provided by the invention are an improved reservoir formation analysis method by improving the working efficiency of seismic data in reservoir formation and cap layer research in reservoir formation analysis under the condition of the existing data. Therefore, the invention only relates to the content of improving the traditional reservoir method based on the seismic data use efficiency, and does not relate to the content of other biogenic rocks, transmission conditions and related combination research in the traditional reservoir analysis.

According to the invention, sensitive seismic attributes such as reservoirs, fractures and the like are searched according to seismic wave group characteristics on the basis of seismic stratigraphy and geophysical response characteristics, time-saving and labor-saving multi-layer system and high-density target layer system explanation is carried out according to the seismic stratigraphy, high-density structural information, reservoir information, trap information and the like are further obtained on the basis of high density fineness, and then the link of research on related contents of the reservoirs and cover layers in the traditional reservoir formation analysis method can be improved by combining the knowledge of drilled well information, oil-water interfaces, hydrocarbon source rocks, migration channels and the like. The method is most important in a large set of research strata series, and information such as structure, reservoir, trap and storage conditions and the like can be obtained for the rocky oil-gas reservoirs of the meandering river and the trigonal region of the meandering river without excessive manual workload, so that the research time of links such as the structure, the reservoir, the cover and the like is improved based on the improvement of the utilization efficiency of seismic data, the research period of the reservoir formation analysis can be greatly prolonged, and the reservoir formation analysis of any drilled well by a technician becomes possible under the conditions of multiple target strata series and large number of drilled wells. Meanwhile, the early data used by the method are considered to be reliable in result.

The invention improves the specific position of the target layer on the seismic section and the seismic response characteristics of the marker layer on the basis of the drilled well calibration in the seismic research process, and explains the conventional structural horizon and fracture or reserves the original structural explanation result so as to realize the regional structural characteristics. Fracture information can also be obtained through sensitive attributes such as manual interpretation schemes and coherence. Secondly, searching and extracting the sensitive seismic attribute of the sandstone reservoir through the geophysical response characteristic of the sandstone reservoir where the oil-gas reservoir is located, and according to the longitudinal and plane attribute characteristics, the development condition and the distribution characteristic of the reservoir are implemented. In addition, the reservoir formation analysis can be carried out by analyzing the trapping condition and the storage condition and combining the research of the well-drilled oil-gas-water condition, the former hydrocarbon source rock, the migration channel and the like.

The reservoir formation factor and reservoir formation mode analysis result obtained by the method is the knowledge of the whole oil and gas field, the study misleading possibly brought by one-sided knowledge and misjudgment on the conclusion are avoided, the effects of leading and guiding other reservoir formation knowledge, oil and gas knowledge and the like can be well played, the oil and gas prediction work and the favorable target can be helped, and the services of increasing production and storing up and improving economic benefits of the oil and gas field are directly provided.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is a first schematic flow chart of a method for improving the drilling success rate of a meandering stream and a meandering stream delta oil field in an embodiment of the invention;

FIG. 2 is a flow chart illustrating step 100 according to an embodiment of the present invention;

FIG. 3 is a flow chart illustrating step 100 according to an embodiment of the present invention;

fig. 4 is a schematic flow chart of a method for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta in the embodiment of the invention;

FIG. 5 is a flowchart illustrating a step 400 according to an embodiment of the present invention;

fig. 6 is a third schematic flow chart of a method for improving the drilling success rate of the oil field in the meandering river and the meandering river delta in the embodiment of the invention;

fig. 7 is a schematic flow chart of a method for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta in the embodiment of the invention;

FIG. 8 is a flowchart of step 700 in an embodiment of the present invention;

fig. 9 is a fifth schematic flow chart of a method for improving the drilling success rate of the oil field in the meandering river and the meandering river delta in the embodiment of the invention;

FIG. 10 is a schematic flow chart of a method for improving the drilling success rate of a meandering stream and a meandering stream delta oil field in an embodiment of the invention;

FIG. 11 is a diagram illustrating the method for improving the drilling success rate of the meandering stream and the meandering stream delta oil field in the embodiment of the present invention;

FIG. 12 is a diagram illustrating the deep calibration of a FUD7 well in an exemplary embodiment of the present invention;

FIG. 13 is a cross-sectional view of longitudinal wave velocity-transverse wave velocity-shale content in an embodiment of the present invention;

FIG. 14 is a cross-plot of compressional impedance-compressional velocity ratio-well lithology in an example embodiment of the present invention;

FIG. 15 is a diagram illustrating the calibration of the lithology of a FUD7 well profile in an exemplary embodiment of the present invention;

FIG. 16 is a diagram of a cross-section of an artificial interpretation horizon of a main line of a well passing through X1 in an embodiment of the present invention;

FIG. 17 is a diagram illustrating an auto-track horizon profile in an exemplary embodiment of the present invention;

FIG. 18 is a diagram illustrating an artificial intelligence tracking horizon profile in an exemplary embodiment of the present invention;

FIG. 19 is a time domain structure diagram of a certain interval of J2t2 in a specific application example of the invention

FIG. 20 is a schematic diagram of the enhanced properties of J2t2 along the layer fault in the specific application example of the invention;

FIG. 21 is a schematic diagram showing the properties of a cross-sectional fault reinforcement member in an embodiment of the present invention;

FIG. 22 is a plan view of the maximum amplitude of J2t2 at a certain time period in an embodiment of the present invention;

FIG. 23 is a seismic cross-section of a cross-well of FUD7-FUD071-FUD12 in an example embodiment of the present invention;

FIG. 24 is a cross-sectional view of a reservoir through a FUD7 well J2t2 oil-producing zone in an example embodiment of the present invention;

FIG. 25 is a diagram of the well construction-lithology reservoir pattern of FUD7 in an example embodiment of the present invention;

fig. 26 is a first schematic structural diagram of a device for improving the drilling success rate of an oil field in a meandering river or a meandering river delta in an embodiment of the present invention;

FIG. 27 is a diagram illustrating a structure of a horizon result generating unit according to an embodiment of the invention;

FIG. 28 is a schematic structural diagram of a feature determination unit according to an embodiment of the present invention;

fig. 29 is a schematic structural diagram of a second device for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta in the embodiment of the present invention;

fig. 30 is a schematic structural diagram of a plane spread data generating unit according to an embodiment of the present invention;

fig. 31 is a third schematic structural diagram of a device for improving the drilling success rate of an oil field in a meandering river or a meandering river delta in the embodiment of the present invention;

fig. 32 is a fourth schematic structural diagram of a device for improving the drilling success rate of an oil field in a meandering river or a meandering river delta in the embodiment of the present invention;

FIG. 33 is a schematic structural diagram of a fault plane spread data determining unit according to an embodiment of the present invention;

fig. 34 is a fifth schematic structural diagram of a device for improving the drilling success rate of an oil field in a meandering river and a meandering river delta in the embodiment of the present invention;

fig. 35 is a schematic structural diagram of an electronic device in an embodiment of the invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The embodiment of the invention provides a specific implementation mode of a method for improving the drilling success rate of an oil field in a meandering river and a meandering river delta, and the method specifically comprises the following steps of:

step 100: and generating an automatic tracking horizon result of the target horizon according to the logging data, the layering data, the oil testing data, the seismic data and the horizon interpretation data of the historical wells of the oil fields of the meandering stream and the delta of the meandering stream.

It can be understood that the field in the curved river and the triangular continent of the curved river have the following characteristics: along with the deepening of water injection development of oil fields, the water flooding grades of development wells at certain parts in large-area-distributed river sand bodies are greatly different. The river sand bodies distributed in a large area are not single river channels, but are caused by plane lateral superposition of multi-stage (or multi-stage) river channels, and complex heterogeneity is formed among different single river channels due to complexity of communication modes and differences of reservoir properties of the single river channels. Additionally, the historical well in step 100 is a well that has been completed and contains a log.

Step 200: and determining the geophysical response characteristics of the reservoirs and non-reservoirs of the meandering river and the meandering river delta oil fields according to the core data, the logging data and the logging data.

The geophysical response characteristics in step 200 may include: amplitude, waveform, frequency, attenuation factor, phase, correlation coefficient, energy, and ratio, among others.

Step 300: and improving the drilling success rate of the meandering stream and the meandering stream delta oil field according to the geophysical response characteristics of the reservoir and the non-reservoir and an automatic horizon tracking result.

It can be understood that, since the deposited phase change of the meandering stream and the meandering stream delta has a very fast frequency and a strong heterogeneity, the drilling success rate of the meandering stream and the meandering stream delta oil field is low, and this disadvantage can be better overcome through the step 300.

The invention particularly relates to a method for rapidly obtaining information of a high-density time domain horizon, a high-density time domain structure, a high-density reservoir stratum and the like from seismic data based on the principle of seismic stratigraphy, analyzing trapping and reservoir storage conditions by combining well logging, rock core, lithology, structure, sedimentation, oil-gas-water conditions and the like, and further providing an improved rapid, convenient and comprehensive reservoir formation analysis method for sandstone oil and gas reservoirs of any meandering river and meandering river from the perspective of improving the utilization efficiency of seismic data.

In one embodiment, referring to fig. 2, step 100 specifically includes:

step 101: and making a synthetic seismic record according to the logging data, the layering data, the oil testing data, the seismic data and the horizon interpretation data of the historical wells of the oil fields of the meandering river and the Delta of the meandering river.

It can be understood that, if there is no horizon to be manually interpreted, the target horizon and the fault need to be manually interpreted according to the calibration result of the synthetic record.

Step 102: and determining the well-to-well contrast matching well-to-seismic relationship and the wave group characteristics of the typical layer interface according to the synthetic seismic record.

Step 103: and determining the wave group characteristics of the target layer interface according to the transverse well-connecting contrast matching well-seismic relation and the wave group characteristics of the typical layer interface.

Specifically, the horizon calibration is carried out by combining drilled information, and the seismic response wave group characteristics of the target horizon are determined.

Step 104: and automatically tracking a top-bottom range and the wave group characteristics of the target layer interface according to preset seismic data by using a seismic isochronal method to generate an automatic tracking horizon result of the target layer.

Specifically, based on the principle of seismic stratigraphy, the top and bottom ranges of seismic data automatic tracking are specified, and a peak and trough or a peak, trough and zero phase tracking mode is set to obtain an automatic tracking horizon result. It can be understood that the longitudinal density of the artificial fine interpretation layer can not meet the requirement of water channel identification, the intelligent automatic tracking layer usually has a local time string phenomenon, and the artificial fine interpretation and the intelligent automatic tracking are combined, so that the double requirements of fine interpretation of the layer and great increase of the longitudinal upper layer density can be met. And observing whether an intelligent tracking result obtained under the manual interpretation horizon constraint is an isochronous interface or not through the regional typical main survey line and the junctor seismic section, and if so, considering that the horizon result is reasonable.

In one embodiment, referring to fig. 3, step 200 specifically includes:

step 201: and determining the geophysical response characteristics of the sand and the mudstone of the oil fields of the meandering river and the Delta of the meandering river according to the core data, the logging data and the logging data.

Step 202: and determining the geophysical response characteristics of the reservoirs and non-reservoirs of the meandering river and the meandering river delta oil field according to the sand and mudstone geophysical response characteristics.

Specifically, a typical well is selected, and the geophysical response characteristics of sand and mudstone are determined by combining core, logging and logging information, so that the geophysical response characteristics of a reservoir and a non-reservoir are defined.

In an embodiment, referring to fig. 4, the method for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta further includes:

step 400: and generating transverse and plane spread data of the reservoir according to the wave group characteristics of the reservoir.

Further, referring to fig. 5, step 400 further includes:

step 401: and selecting seismic sensitivity attributes according to the wave group characteristics of the reservoir.

Specifically, selecting a drilled well to be analyzed, and firstly calibrating the response characteristics of sand and mudstone on a seismic section by combining rock core, logging and logging information; secondly, intersecting elastic parameters such as longitudinal wave velocity-lithology, longitudinal wave impedance-longitudinal and transverse wave velocity ratio and the like, and searching for sensitive geophysical elastic parameters; and finally, searching for different lithology and fracture sensitive post-stack seismic attributes through a post-stack attribute test of a typical well seismic section.

Step 402: and calculating the sensitive seismic attribute body of the target layer according to the seismic sensitive data.

Step 403: and generating transverse and plane spread data of the reservoir according to the sensitive seismic attribute body of the target layer.

In an embodiment, referring to fig. 6, the method for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta further includes:

step 500: and determining the target depth data according to the automatic tracking horizon result.

Step 600: and when the overlying stratum of the target layer has a speed abnormal body, performing time-depth conversion.

In step 500 and step 600, it can be understood that the reservoir formation analysis needs to provide the relative structure height information of the sand reservoir top interface to be analyzed in the research area, and if the overlying strata of the target layer of the research area has no velocity anomaly, the relative height structure information of the sand reservoir top interface in the research area can be replaced by the time horizon structure information in the manual interpretation and automatic tracking horizon result; if the stratum overlying the target layer of the research area has a speed abnormal body, time-depth conversion needs to be carried out on the time interval structure, and then the structure information of the top interface of the sand body reservoir in the research area is obtained.

In an embodiment, referring to fig. 7, the method for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta further includes:

step 700: and determining fault plane distribution data of the meandering stream and the meandering stream delta oil field.

Further, referring to fig. 8, step 700 specifically includes:

step 701: and extracting coherence and dip angle parameters of the meandering stream and the meandering stream delta oil field.

Step 702: and determining fault plane distribution data of the meandering stream and the meandering stream delta oil field according to the coherence and inclination parameters.

In an embodiment, referring to fig. 9, the method for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta further includes:

step 800: and judging whether the types of the oil fields of the meandering stream and the meandering stream delta are structural traps or not according to the automatic tracking horizon result, the geophysical response characteristics of the reservoir and the non-reservoir, the depth data and the fault plane spread data.

Specifically, any drilled oil and gas depth section is selected as a reservoir formation analysis object, a typical seismic profile of the well is passed, the results of manual interpretation and intelligent tracking are used as horizon information, lithology and reservoir information, construction information and fault information, and whether the structure trap is a structure trap or a non-structure trap is judged by combining the drilled oil, gas and water conditions in a research area.

At present, the oil and gas field production increasing and storing is usually a multilayer system, the research area is large, the number of drilled wells is large, the exploration and development situation is increasingly severe, the workload of the conventional reservoir formation analysis method is huge, oil and gas researchers can only select a plurality of or a plurality of typical wells for reservoir formation analysis, and the result reliability and the applicability of the reservoir formation analysis are greatly limited. The method has the characteristics that the seismic data information is fully mined, the use efficiency of the seismic data is improved on the basis of conventional analysis, on one hand, the workload of structure, reservoir stratum, fracture research and the like in the reservoir formation analysis is greatly reduced, and on the other hand, because the work becomes convenient and fast and the results are more detailed and richer, the understanding of trapping, storage conditions and the like is also quick and feasible, the research period of geophysical prospecting and geology personnel is greatly shortened, and more importantly, the large-range and most of drilled reservoir formation analysis becomes possible.

And (3) based on the seismic data, manually interpreting horizon constraints and using an interpretation system to automatically track the mode to obtain a high-density isochronous horizon interface result. The reservoir formation analysis only needs to analyze the relative structural information of the top surface of the oil-gas reservoir in the research area, if the overlying strata does not have the condition of a speed abnormal body, the structural information of the layer where the sand body is located can be quickly obtained by replacing the step with the time domain layer structural information, and even if the overlying strata has the special geological condition of a quick-passing abnormal body, the acquisition speed of the depth domain structural result is greatly increased due to the fact that the time domain structure is very convenient to obtain. The invention has another characteristic that the reservoir and the fracture development and the spreading condition can be quickly obtained on the basis of obtaining the high-density isochronous horizon interface result, the characteristics enable the analysis of any trap, cover layer or shielding condition to be possible at the later stage, and the characteristics are necessary conditions for enabling the analysis of a large amount of drilled reservoirs in a large range.

To further illustrate the present invention, the present invention provides a specific application example of the method for improving the drilling success rate of the oil field in the meandering river or the meandering river delta by taking a certain oil field H block as an example, and the specific application example specifically includes the following contents, see fig. 10 and fig. 11.

S1: and calibrating a synthetic record.

And (4) carrying out horizon calibration by using the drilled information in combination with the previous research, and determining the seismic response wave group characteristics of the target horizon. As shown in fig. 12, the deep calibration of the well with the target layer being M1 shows that the target layer top K1tg is characterized by strong valley reflection, the wave impedance curve value becomes lower rapidly, and the target layer bottom J2t is characterized by strong peak reflection.

S2: determining the geophysical response characteristics of reservoir and non-reservoir, fracture and the like.

Specifically, selecting a drilled well to be analyzed, and firstly calibrating the response characteristics of sand and mudstone on a seismic section by combining rock core, logging and logging information; secondly, intersecting elastic parameters such as longitudinal wave velocity-lithology, longitudinal wave impedance-longitudinal and transverse wave velocity ratio and the like, and searching for sensitive geophysical elastic parameters; and finally, searching for different lithology and fracture sensitive post-stack seismic attributes through a post-stack attribute test of a typical well seismic section. In fig. 13 and fig. 14, the longitudinal wave velocity-transverse wave velocity-shale content cross plot and the longitudinal wave impedance-longitudinal wave velocity ratio-logging lithology cross plot of the research area show that the geophysical elasticity parameters can not distinguish the reservoir from the non-reservoir. The calibration of lithology on a seismic section (figure 15) and attribute testing show that the sandstone layer shows relatively strong amplitude geophysical characteristics in seismic data relative to mudstone, and therefore, the optimal maximum amplitude is the sensitive post-stack attribute of the reservoir.

S3: horizons and faults are manually interpreted.

If no forebody position interpretation result exists, the target layer needs to be interpreted based on the calibration condition of the synthetic record, and if the forebody position interpretation result is obtained, the target layer needs to be checked and adjusted according to the calibration condition of the forebody position interpretation result, and finally the artificial position and fault data of the graph 16 are obtained.

S4: and generating an automatic tracking horizon result.

A time window is given on the seismic data for automatic tracking and tracking is specified in terms of peaks, zero phases and troughs, resulting in the high density horizon information in fig. 17. Since the consideration is the result of automatic tracking, the phenomenon that the horizon is not completely equal to the time series layer necessarily exists locally.

S5: and (5) manually constraining and intelligently tracking the horizon.

And performing intelligent tracking by using the artificial interpretation horizon obtained in the step S4 as a constraint condition, so as to obtain a high-density artificial constraint intelligent tracking horizon as shown in fig. 18. Because the manual horizon interpretation scheme is considered, the horizon result obtained at this time is adjusted and corrected for the automatic tracking horizon without constraint conditions while the intelligent tracking is carried out, so that the manual constraint intelligent tracking horizon is realized and the like. When the manually constrained intelligent tracking horizon still has a local string of horizons, whether the manually interpreted horizon is completely isochronal closed in three dimensions or the intelligent tracking parameters are adjusted until the manually constrained intelligent tracking horizon is completely isochronal is also required to be checked. As can be seen from fig. 18, the thick horizon is the result of manual interpretation, the thin horizon is the result of intelligent tracking under the constraint of the manual interpretation horizon, the trends of the two are substantially consistent, and both the trends are equal, and the result is considered to be used for extraction of information of reservoirs, fractures and the like.

S6: and extracting the construction information.

The reservoir analysis need only provide information about the relative formation level of the top surface of the hydrocarbon interval at the study area to be analyzed. If the overlying stratum of the target layer has no speed abnormal body, the structure of the top interface of the sand reservoir layer in the research area is relatively high and low and can be replaced by the high-density time horizon obtained in the step 5) to be used as structural information, and the structural research period in the reservoir formation analysis process can be greatly shortened under the condition; if the overlying stratum of the target layer has a speed abnormal body, speed correction is needed to perform time-depth conversion on the horizon structure, and further the top surface depth domain structure information of the sandstone of the oil-gas layer is obtained. In this case, the high density of temporal horizons also greatly compresses the pick-up time at any level of the temporal domain. The well drilling analysis of the research area and the adjacent area shows that no velocity anomaly exists in the overburden, so the time domain horizon obtained in the step of S5 can be used as the structural information (FIG. 19).

S7: and extracting fracture information.

The local region fracture detection result shows that the imaging effect is good after coherence enhancement, large-scale fracture zones, small-scale fractures and river channel edge sculpting are very clear, the signal-to-noise ratio is improved, and attributes such as coherence or dip angle are extracted, so that the fault plane and seismic section spreading conditions of the images 20 and 21 are obtained.

S8: and extracting reservoir information.

According to the sandstone reservoir geophysical characteristics determined in the step S2, seismic sensitivity attributes or elastic parameters are preferably selected, the maximum amplitude of the research area is reservoir sensitivity post-stack attributes, and seismic attribute maps of any layer of the target layer can be extracted on the basis of the high-density layer obtained in the step S5, so that the transverse development characteristics and the plane distribution rule of the reservoir are obtained, and water channel sand bodies can be well carved to distinguish water channel deposition from non-water channel deposition (figure 22).

S9: and (4) carrying out trap analysis.

The oil test results of the FUD7 well J2t2 small layer 2821-2894m are oil layers, and the daily oil production is 3.6 t/d. As can be seen in FIG. 19, the FUD7 well region does not develop a structural trap, which is located at a relatively high portion of the structural slope. FIG. 22 shows that FUD7 developed a large channel and FUD12 and FUD071 developed the same channel sandstone deposit at the same time, and the planar attribute shows that the channel has a sudden change in the southeast direction maximum amplitude attribute, which indicates that channel sand has lithologic pinches in the southeast direction. A seismic section is drawn along FUD12, FUD071 and FUD7 wells, the red stratum is the position of an oil reservoir of the FUD7 well, the visible oil reservoir shows strong wave peak seismic response characteristics, and the amplitude of the strong wave peak reflection axis in the southeast direction is suddenly changed into weak wave peak reflection, so that the development lithologic trap of the FUD7 oil reservoir is judged.

S10: and analyzing the cover layer and the shielding condition.

The research area has 9 drilled wells, only one oil well is drilled, and the oil well is a sand-shale stratum with more mud and less sand. The adjacent FUD5 well region has the same deposition environment, the well region enters the development stage at present, more oil and gas wells are drilled, and the well drilling experience shows that the target layer of the region has the same mudstone development and less sandstone. By using the neighboring experience, the target layer of the FUD7 well should also have vertical cap condition.

The drilling experience of the adjacent region also shows that the pure sandstone lithologic trap under the construction background is usually a good oil and gas accumulation region, and the drilled sandstone reservoir layer sections without the lithologic trap at the construction high part are all empty wells or water wells. The FUD7 well develops a lithologic trap, so that there is a condition of lateral shielding of oil and gas in the southeast direction of the high site of the formation, thereby forming a good reservoir.

S11: and (4) analyzing the accumulation.

Selecting any drilled profit section or oil and gas section as a reservoir formation analysis object, defining a typical seismic profile of the well as shown in figure 23, combining oil test results of 2821- & ltSUB & gt 2894 meters of small layers of J2t2 of FUD7 well with high-density horizon information, structural information, reservoir information and structural fracture information to form a set of oil layers with daily production of 3.6 tons, testing the same water channel of the FUD12 well in the downward inclination direction to form a water layer, and testing the FUD071 well without testing, and interpreting the well logging to form the water layer. From this, it can be determined that the oil-water interface is between the FUD7 and FUD071 wells, and the seismic profile of fig. 23 can be converted to the reservoir profile of fig. 24. The FUD7 well has no developed fault near the oil layer, the structure is located at the relatively high part of the slope, and the developed structure is trapped. According to the maximum amplitude attribute, the lithology of the water channel sand body towards the southeast direction of the high-structure part is sharp out to form a lithology oil and gas reservoir, and a better lateral shielding condition and an area vertical cover layer condition exist, so that the lithology and the structure are main control factors for the oil-producing interval formation of the well J2t 2.

S12: and summarizing the hidden mode and drawing a hidden mode graph.

The reservoir formation mode can be judged to be a tectonic-lithologic oil and gas reservoir by the step S11, and the reservoir pattern graph (figure 25) can be obtained by simplifying the oil reservoir profile (figure 24) and highlighting the reservoir formation main control factors.

Compared with the traditional reservoir analysis method, the improved method for analyzing the stratums of the meandering stream and the meandering stream delta based on the seismic data uses more geophysical means to help quickly and more acquire information such as horizons, reservoirs, structures, fractures and the like, and has wider applicability, deeper analyzability and more comprehensive results compared with the traditional method. Including the following list:

according to the well-drilled data, firstly confirming the time-depth relation, the seismic response characteristic of a target stratum and the geophysical characteristic of a reservoir stratum, carrying out artificial + intelligent tracking to obtain high-density horizon data, acquiring reservoir stratum and fracture information on the basis of the horizon information, and if an overlying stratum has a velocity abnormal body, carrying out conversion of a time domain horizon on a depth domain. Based on the structure, the high-density horizon, the reservoir and the fracture information, the trap and storage condition analysis can be performed on any drilled oil (gas) layer, and further, the drilled reservoir formation analysis can be performed.

Based on the same inventive concept, the embodiment of the present application further provides a device for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta, which can be used for implementing the method described in the above embodiment, as described in the following embodiment. Because the principle of solving the problems of the drilling success rate improving device for the oil fields of the meandering stream and the Delta of the meandering stream is similar to the drilling success rate improving method for the oil fields of the meandering stream and the Delta of the meandering stream, the implementation of the drilling success rate improving device for the oil fields of the meandering stream and the Delta of the meandering stream can be referred to the implementation of the drilling success rate improving method for the oil fields of the meandering stream and the Delta of the meandering stream, and repeated parts are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

The embodiment of the invention provides a specific implementation mode of a device for improving the drilling success rate of a meandering stream and a meandering stream delta oil field, which can realize the method for improving the drilling success rate of the meandering stream and the meandering stream delta oil field, and the device for improving the drilling success rate of the meandering stream and the meandering stream delta oil field specifically comprises the following contents:

a horizon result generating unit 10, configured to generate an automatic tracking horizon result of the target horizon according to the well logging data, the layered data, the oil testing data, the seismic data, and the horizon interpretation data of the historical wells of the oilfield in the meandering river and the meandering river delta;

the characteristic determining unit 20 is used for determining the geophysical response characteristics of the reservoirs and non-reservoirs of the meandering river and meandering river delta oil fields according to the core data, the logging data and the logging data;

and the drilling success rate improving unit 30 is used for improving the drilling success rate of the oil fields in the meandering stream and the Delta of the meandering stream according to the geophysical response characteristics of the reservoir and the non-reservoir and an automatic horizon tracking result.

In one embodiment, referring to fig. 27, the horizon result generating unit 10 includes:

a synthetic seismic record making module 101, configured to make a synthetic seismic record according to well logging data, layered data, oil test data, seismic data, and horizon interpretation data of the historical wells of the oilfield in the meandering river and the meandering river delta;

a wave group characteristic determination first module 102, configured to determine a transverse well-tie contrast matching well-seismic relationship and a wave group characteristic of a typical layer interface according to the synthetic seismic record;

a second wave group characteristic determination module 103, configured to determine a wave group characteristic of the target layer interface according to the transverse well-tie contrast matching well-seismic relationship and the wave group characteristic of the typical layer interface;

and a horizon result generating module 104, configured to generate an automatic tracking horizon result of the target layer according to a preset seismic data automatic tracking top-bottom range and a wave group characteristic of the target layer interface by using a seismic isochronal method.

In one embodiment, referring to fig. 28, the feature determination unit 20 includes:

a physical response characteristic determining first module 201, configured to determine, according to the core data, the logging data, and the logging data, geophysical response characteristics of sand and mudstone in the oilfield of the meandering river and the meandering river delta;

and a physical response characteristic determining second module 202, configured to determine the geophysical response characteristics of the reservoirs and non-reservoirs of the meandering river and meandering river delta oil fields according to the sand and mudstone geophysical response characteristics.

In an embodiment, referring to fig. 29, the apparatus for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta further includes:

and the plane spread data generating unit 40 is used for generating the transverse and plane spread data of the reservoir according to the wave group characteristics of the reservoir.

In one embodiment, referring to fig. 30, the plane spread data generating unit 40 includes:

the seismic sensitivity attribute selection module 401 is used for selecting seismic sensitivity attributes according to the wave group characteristics of the reservoir;

a sensitive seismic attribute body calculation module 402, configured to calculate the target layer sensitive seismic attribute body according to the seismic sensitive data;

and a plane spread data generating module 403, configured to generate the horizontal and plane spread data of the reservoir according to the target layer sensitive seismic attribute body.

In an embodiment, referring to fig. 31, the apparatus for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta further includes:

a depth data determination unit 50 for determining the target depth data according to the auto-tracing horizon result;

and the time-depth conversion unit 60 is used for performing time-depth conversion when a velocity anomaly body exists in the overlying strata of the target layer.

In an embodiment, referring to fig. 32, the apparatus for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta further includes:

and a fault plane distribution data determining unit 70, configured to determine fault plane distribution data of the meandering stream and the meandering stream delta oil field.

In one embodiment, referring to fig. 33, the tomographic plane spread data determination unit 70 includes:

an inclination parameter extraction module 701, configured to extract coherence and inclination parameters of the meandering stream and the meandering stream delta oil field,

and a fault plane spread data determining module 702, configured to determine fault plane spread data of the meandering stream and the meandering stream delta oil field according to the coherence and the dip angle parameters.

In an embodiment, referring to fig. 34, the apparatus for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta further includes:

and a structural trap judging unit 80, configured to judge whether the type of the oil field of the meandering river and the meandering river delta is a structural trap according to the automatic tracking horizon result, the geophysical response characteristics of the reservoir and the non-reservoir, the depth data, and the fault plane spread data.

From the above description, the device for improving the drilling success rate of the oil field in the meandering stream and the Delta of the meandering stream provided by the invention is an improved reservoir formation analysis method by improving the working efficiency of seismic data in reservoir formation and cap layer research in reservoir formation analysis under the condition of the existing data. Therefore, the invention only relates to the content of improving the traditional reservoir method based on the seismic data use efficiency, and does not relate to the content of other biogenic rocks, transmission conditions and related combination research in the traditional reservoir analysis.

The embodiment of the present application further provides a specific implementation manner of an electronic device capable of implementing all steps in the method for improving the drilling success rate of the meandering stream and the meandering stream delta oil field in the above embodiment, and referring to fig. 35, the electronic device specifically includes the following contents:

a processor (processor)1201, a memory (memory)1202, a communication Interface 1203, and a bus 1204;

the processor 1201, the memory 1202 and the communication interface 1203 complete communication with each other through the bus 1204; the communication interface 1203 is used for implementing information transmission among related devices such as a server-side device, a coring device, a client device and the like.

The processor 1201 is configured to call the computer program in the memory 1202, and when the processor executes the computer program, the processor implements all the steps in the method for improving the drilling success rate of the oil field in the meandering stream and the meandering stream delta in the above embodiment, for example, when the processor executes the computer program, the processor implements the following steps:

step 100: and generating an automatic tracking horizon result of the target horizon according to the logging data, the layering data, the oil testing data, the seismic data and the horizon interpretation data of the historical wells of the oil fields of the meandering river and the delta of the meandering river.

From the above description, it can be seen that the electronic device in the embodiment of the present application, under the existing data, improves the working efficiency of reservoir and cap layer research in the reservoir and cap layer analysis of seismic data, and is an improved reservoir and cap layer analysis method. Therefore, the invention only relates to the content of improving the traditional reservoir method based on the seismic data use efficiency, and does not relate to the content of other biogenic rocks, transmission conditions and related combination research in the traditional reservoir analysis.

An embodiment of the present application further provides a computer-readable storage medium capable of implementing all steps in the method for improving the drilling success rate of the meandering stream and the meandering stream delta oil field in the above embodiment, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements all steps of the method for improving the drilling success rate of the meandering stream and the meandering stream delta oil field in the above embodiment, for example, when the processor executes the computer program, the processor implements the following steps:

From the above description, it can be seen that the computer-readable storage medium in the embodiments of the present application, under the existing data, improves the working efficiency of reservoir and cap layer research in the reservoir formation analysis of seismic data, and provides an improved reservoir formation analysis method. Therefore, the invention only relates to the content of improving the traditional reservoir method based on the seismic data use efficiency, and does not relate to the content of other biogenic rocks, transmission conditions and related combination research in the traditional reservoir analysis.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

Although the present application provides method steps as described in an embodiment or flowchart, additional or fewer steps may be included based on conventional or non-inventive efforts. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.

Although embodiments of the present description provide method steps as described in embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or end product executes, it may execute sequentially or in parallel (e.g., parallel processors or multi-threaded environments, or even distributed data processing environments) according to the method shown in the embodiment or the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A method for improving the drilling success rate of a meandering river and a meandering river delta oil field is characterized by comprising the following steps:

2. The method for improving drilling success rate according to claim 1, wherein the step of generating an automatic horizon tracking result of the target layer according to the logging data, the stratification data, the oil testing data, the seismic data and the horizon interpretation data of the historical wells of the oil fields of the meandering stream and the meandering stream delta comprises the following steps:

3. The method for improving drilling success rate according to claim 2, wherein the determining of the geophysical response characteristics of the reservoirs and non-reservoirs of the oil fields of the meandering and meandering rivers and deltas according to the core data, the logging data and the logging data comprises:

4. The method of increasing drilling success rate of claim 3, further comprising:

5. The method of increasing drilling success rate of claim 4, wherein the generating lateral and planar spread data of the reservoir from the wave group characteristics of the reservoir comprises:

6. The method of increasing drilling success rate of claim 5, further comprising:

7. The method of increasing drilling success rate of claim 6, further comprising:

8. The method of improving drilling success rate of claim 7 wherein the determining fault plane spread data for the field in the meandering stream and the meandering stream delta comprises:

9. The method of increasing drilling success rate of claim 8, further comprising:

10. The utility model provides a device is improved to tortuous flow river and tortuous flow river delta oil field drilling success rate, its characterized in that includes:

11. The drilling success rate improving apparatus according to claim 10, wherein the horizon result generating unit comprises:

12. The drilling success rate improving apparatus according to claim 11, wherein the characteristic determining unit includes:

13. The drilling success rate enhancement apparatus of claim 12, further comprising:

14. The drilling success rate improving apparatus according to claim 13, wherein the plan spread data generating unit includes:

15. The drilling success rate enhancement apparatus of claim 14, further comprising:

16. The drilling success rate enhancement apparatus of claim 15, further comprising:

17. The drilling success rate improving apparatus according to claim 16, wherein the fault plane spread data determining unit includes:

18. The drilling success rate enhancement apparatus of claim 17, further comprising:

19. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the method for improving the drilling success rate of the oilfield in the meandering stream and the meandering stream delta as claimed in any one of claims 1 to 9.

20. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for improving the drilling success rate of an oil field in the meandering river or the meandering river delta according to any one of claims 1 to 9.