CN113093275B

CN113093275B - Method and device for improving drilling success rate of curved-flow river and curved-flow river delta oilfield

Info

Publication number: CN113093275B
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: 2023-09-26
Anticipated expiration: 2040-01-09
Also published as: CN113093275A

Abstract

The invention provides a method and a device for improving drilling success rate of a curved-flow river and a curved-flow delta oilfield, wherein the method comprises the following steps: generating an automatic tracking horizon result of the target layer according to logging data, layering data, oil test data, seismic data and horizon interpretation data of historical wells of the curvelet and the curvelet delta oilfield; determining geophysical response characteristics of reservoirs and non-reservoirs of the curvelet and the triangulated field according to the core data, the logging data and the logging data; and improving the drilling success rate of the curved-flow river and the curved-flow river delta oilfield according to the geophysical response characteristics of the reservoir and the non-reservoir and the automatic tracking horizon result. The invention avoids research misleading and misjudgment on conclusion possibly caused by one-sided knowledge, can help oil gas prediction work and optimize favorable targets, and directly serves for increasing production and storage of oil gas fields and improving economic benefit.

Description

Method and device for improving drilling success rate of curved-flow river and curved-flow river delta oilfield

Technical Field

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

Background

Lithologic reservoirs (such as a curvelet and a curvelet delta oil field) are rapid in lithologic change, complex and various in reservoir forming modes, reservoir forming analysis is needed to be carried out on drilled wells to meet the requirement of oil and gas field production and upper storage, reservoir forming main control factors and reservoir forming modes of the reservoirs are clear, the work can guide other research works of subsequent earthquakes and geology, and a solid and reliable theoretical basis is provided for optimizing a final beneficial target. According to the national oil and gas standard (SY/T5938-2000) and the industry standard of the people's republic of China, the prior art lacks relevant oil and gas reservoir analysis relevant standards. Conventional analysis methods for lithologic hydrocarbon reservoirs include generation, storage, cap assembly and migration path studies.

The conventional reservoir forming analysis method has wider applicability under the conditions of less target layers and less drilled well quantity. However, with the continuous deep exploration and development degree of the oil and gas field, the vertical objective layers are more, the number of drilled wells is large, which is a common current situation of the exploration and development of the oil and gas field, and the conventional reservoir analysis needs to know different drilled wells, different layers, faults, traps, reservoirs, storage conditions and the like to realize the whole research area, otherwise, the situation that the reservoir is limited in knowledge and is approximate is generated. However, to do so, the workload is enormous for conventional reservoir element analysis methods, and the time problem caused by the workload is a problem that has to be considered by oil and gas researchers.

Disclosure of Invention

Aiming at the problems in the prior art, the method and the device for improving the drilling success rate of the curved-flow river and the curved-flow river delta oilfield can obtain the accumulation elements and the accumulation mode analysis results, avoid misjudgment on research misguidance and conclusion possibly caused by one-sided knowledge, and can well play a role in guiding and guiding other research reservoir knowledge, oil gas knowledge and the like, thereby helping oil gas prediction work and optimizing favorable targets, and directly serving the purposes of increasing the oil gas field production, storing and improving economic benefit.

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

in a first aspect, the present invention provides a method for improving the success rate of drilling a curved-stream river and a curved-stream river delta oilfield, which includes:

generating an automatic tracking horizon result of the target layer according to logging data, layering data, oil test data, seismic data and horizon interpretation data of historical wells of the curvelet and the curvelet delta oilfield;

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

and improving the drilling success rate of the curved-flow river and the curved-flow river delta oilfield according to the geophysical response characteristics of the reservoir and the non-reservoir and the result of the automatic tracking horizon.

In an embodiment, the generating the automatic tracking horizon result of the destination layer according to the logging data, the layering data, the oil test data, the seismic data and the horizon interpretation data of the historical wells of the curvelet and the curvelet delta field includes:

according to the logging data, layering data, oil test data, seismic data and horizon interpretation data of the historical well of the curvelet and the curvelet delta oilfield, a synthetic seismic record is manufactured;

determining a transverse well connection comparison matching well earthquake relation and wave group characteristics of a typical layer interface according to the synthetic earthquake records;

determining wave group characteristics of a target layer interface according to the transverse well connection comparison matching well earthquake relation and the wave group characteristics of a typical layer interface;

and automatically tracking a top and bottom range and wave group characteristics of the target layer interface according to preset seismic data by utilizing a seismic isochronous method, and generating an automatic tracking horizon result of the target layer.

In one embodiment, the determining the geophysical response characteristics of the reservoirs and non-reservoirs of the curved-stream river delta fields according to the core data, the logging data and the logging data includes:

determining the sand and mudstone geophysical response characteristics of the curvy river and the curvy river delta oil field according to the core data, the logging data and the logging data;

And determining the geophysical response characteristics of the reservoirs and the non-reservoirs of the curtreta and the curtreta delta fields according to the sand and mudstone geophysical response characteristics.

In one embodiment, the method for improving the drilling success rate of the curved-stream river and the curved-stream delta oilfield 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 from the wave packet characteristics of the reservoir comprises:

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

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

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

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

and when the speed abnormality exists in the stratum covered by the target layer, performing time-depth conversion.

and determining fault plane spread data of the curvelet and the delta oil field.

In one embodiment, the determining fault plane spread data of the curveway river and curveway delta field comprises:

extracting coherence and inclination parameters of the curvelet and the delta oil field of the curvelet,

and determining fault plane spread data of the curvelet and the trichlet delta oil field according to the coherence and the inclination angle parameters.

and judging whether the types of the curvelet and the curvelet delta oil fields are 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 distribution data.

In a second aspect, the present invention provides a device for improving the success rate of drilling a curved-stream river and curved-stream delta oilfield, the device comprising:

the horizon result generating unit is used for generating an automatic tracking horizon result of the target layer according to logging data, layering data, oil test data, seismic data and horizon interpretation data of historical wells of the curvelet and the curvelet delta oil field;

the characteristic determining unit is used for determining the geophysical response characteristics of the reservoirs and the non-reservoirs of the curvelet and the curvelet delta oil field 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 curvelet and the curvelet delta oil field according to the geophysical response characteristics of the reservoir and the non-reservoir and the result of the automatic tracking horizon.

In an 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 layering data, the oil test data, the seismic data and the horizon interpretation data of the history wells of the curvelet and the curvelet delta oil field;

the wave group characteristic determining first module is used for determining a transverse well connection comparison matching well earthquake relation and wave group characteristics of a typical layer interface according to the synthetic earthquake records;

the wave group characteristic determining second module is used for determining the wave group characteristic of the target layer interface according to the transverse well connection comparison matching well earthquake relation and the wave group characteristic of the typical layer interface;

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

In an embodiment, the feature determining unit comprises:

The physical response characteristic determining first module is used for determining the sand and mudstone geophysical response characteristics of the curvelet and the curvelet delta oil field according to the core data, the logging data and the logging data;

and the physical response characteristic determining second module is used for determining the geophysical response characteristics of the reservoirs and non-reservoirs of the curved-flow river and curved-flow 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 curved-stream river and the curved-stream delta oilfield further comprises:

and the plane spread data generation unit is used for generating 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 seismic sensitivity attribute selection module is used for selecting seismic sensitivity attributes according to the wave group characteristics of the reservoir;

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

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

A depth data determining unit, configured to determine the destination depth data according to the auto-tracking horizon result;

and the time-depth conversion unit is used for performing time-depth conversion when the speed abnormality exists in the stratum covered by the target layer.

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

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

the dip angle parameter extraction module is used for extracting the coherence and dip angle parameters of the curvelet and the curvelet delta oil field,

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

and the construction trap judgment unit is used for judging whether the types of the curvelet and the curvelet delta oil fields are construction 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, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements steps of a method for improving drilling success rate of a curved stream river and a curved stream delta oilfield 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 a method for improving the success rate of drilling in a curved stream river and a curved stream river delta oilfield.

As can be seen from the above description, the method and the device for improving the drilling success rate of the trefoil river and the trefoil river delta oilfield provided by the invention are an improved reservoir analysis method by improving the working efficiency of seismic data in reservoir and cap layer research in reservoir analysis under the condition of the existing data. Therefore, the invention only relates to improving the content of the traditional reservoir forming method based on the use efficiency of the seismic data, and does not relate to the content of other source rocks, transmission conditions and related combination researches in the traditional reservoir forming analysis.

According to the method, sensitive seismic attributes such as reservoirs, fractures and the like are searched according to the characteristics of the seismic wave groups based on the characteristics of the seismic stratigraphy and the geophysical response, time-saving and labor-saving multi-layer high-density objective layer interpretation is performed according to the characteristics of the seismic wave groups, high-density structural information, reservoir information, trap information and the like are further obtained based on high density fineness, and the research links of the related contents of the reservoirs and the cover layers in the traditional reservoir analysis method can be improved by combining the knowledge of the drilled information, the oil-water interface, the hydrocarbon source rock, the migration channel and the like. The method is most important in a large set of research layers, and can obtain information such as a structure, a reservoir, trap, storage conditions and the like without excessive manual workload for a trefoil river and a trefoil delta lithology hydrocarbon reservoir, so that the research time in links such as the structure, the reservoir, a cover layer and the like is improved based on the improvement of the utilization efficiency of seismic data, the research period of reservoir analysis can be greatly prolonged, and the reservoir analysis can be performed by technicians on any one drilled hole under the conditions of more target layers and large drilled hole quantity. Meanwhile, the previous data used by the method are all considered to be reliable in result.

The method improves the seismic response characteristics of the specific position and the mark layer of the target layer on the seismic section on the basis of well drilling calibration in the seismic research process, interprets the conventional structural layer and fracture or retains the original structural interpretation result, and further implements the regional structural characteristics. Fracture information can also be obtained through manual interpretation schemes and sensitive properties such as coherence. And secondly, searching and extracting sensitive seismic attributes of the sandstone reservoir by realizing geophysical response characteristics of the sandstone reservoir where the hydrocarbon reservoir is located, and realizing reservoir development conditions and spreading characteristics by combining longitudinal and plane attribute characteristics. In addition, the reservoir analysis can be performed by analyzing the trap condition and the preservation condition and combining the researches of the condition of the oil, gas and water which are drilled, the former hydrocarbon source rock, the migration channel and the like.

The analysis results of the reservoir elements and the reservoir modes obtained by the method are the knowledge of the whole oil-gas field, so that misjudgment on research misleading and conclusion possibly caused by one-sided knowledge is avoided, the method can well play a leading and guiding role in other research reservoir knowledge, oil-gas knowledge and the like, can help oil-gas prediction work and preferred favorable targets, and directly serves the purpose of increasing the yield and storing of the oil-gas field and improving economic benefits.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic flow chart of a method for improving the drilling success rate of a curved-stream river and a curved-stream delta oilfield according to an embodiment of the invention;

FIG. 2 is a flow chart of step 100 in an embodiment of the invention;

FIG. 3 is a flow chart of step 100 in an embodiment of the invention;

FIG. 4 is a second flow chart of a method for improving the drilling success rate of a curved-stream river and a curved-stream delta oilfield according to an embodiment of the invention;

FIG. 5 is a flow chart of step 400 in an embodiment of the invention;

FIG. 6 is a flow chart III of a method for improving the drilling success rate of a curved-stream river and a curved-stream river delta oilfield in an embodiment of the invention;

FIG. 7 is a flow chart of a method for improving the success rate of drilling a field on a curved-stream river or a curved-stream delta in an embodiment of the invention;

FIG. 8 is a flow chart of step 700 in an embodiment of the invention;

FIG. 9 is a flow chart of a method for improving the success rate of drilling a field on a curved-stream river or a curved-stream delta in an embodiment of the invention;

FIG. 10 is a flow chart of a method for improving the success rate of drilling a field on a curved-stream river or a curved-stream delta in an embodiment of the invention;

FIG. 11 is a diagram illustrating the concept of a method for improving the success rate of drilling a field on a curved-stream river or a curved-stream river delta in an embodiment of the present invention;

FIG. 12 is a diagram of the time-depth calibration of an FUD7 well in an embodiment of the invention;

FIG. 13 is a graph showing the intersection of compressional velocity, shear velocity, and argillaceous content in an embodiment of the invention;

FIG. 14 is a graph of compressional impedance-compressional velocity ratio-logging lithology intersection for an embodiment of the present invention;

FIG. 15 is a graph of FUD7 well profile lithology calibration in an example of an embodiment of the present invention;

FIG. 16 is a manually interpreted horizon profile display of an inline through an X1 well in an embodiment of the invention;

FIG. 17 is a schematic view of an auto-tracking horizon profile in an embodiment of the invention;

FIG. 18 is a schematic representation of an artificial intelligence tracking horizon profile in an embodiment of the invention;

FIG. 19 is a diagram showing a time domain structure of a layer segment of J2t2 in an embodiment of the present invention

FIG. 20 is a schematic view of J2t2 along layer fault enhancement properties in an embodiment of the present invention;

FIG. 21 is a schematic representation of a cross-sectional fault reinforcement attribute in an embodiment of the present invention;

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

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

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

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

FIG. 26 is a schematic diagram of a device for improving the success rate of drilling a field on a curved-stream river or a curved-stream delta according to an embodiment of the present invention;

FIG. 27 is a schematic diagram of a layer bit result generating unit according to an embodiment of the present invention;

FIG. 28 is a schematic diagram showing the configuration of a feature determining unit in the embodiment of the present invention;

FIG. 29 is a schematic diagram II of a device for improving the success rate of drilling a field on a curved stream river or a curved stream delta in an embodiment of the invention;

FIG. 30 is a schematic diagram of a planar spread data generating unit according to an embodiment of the present invention;

FIG. 31 is a schematic diagram III of a device for improving the success rate of drilling a field on a curved stream river or a curved stream delta in an embodiment of the invention;

FIG. 32 is a schematic diagram of a device for improving the success rate of drilling a field on a curved stream river or a curved stream delta according to an embodiment of the present invention;

FIG. 33 is a schematic diagram of an interrupt layer plane spread data determination unit according to an embodiment of the present invention;

FIG. 34 is a schematic diagram of a device for improving the success rate of drilling a field on a curved stream river or a curved stream delta according to an embodiment of the present invention;

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

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The embodiment of the invention provides a concrete implementation mode of a method for improving the drilling success rate of a curved-stream river and a curved-stream delta oilfield, and referring to fig. 1, the method specifically comprises the following steps:

Step 100: and generating an automatic tracking horizon result of the target layer according to the logging data, layering data, oil test data, seismic data and horizon interpretation data of the historical wells of the curvelet and the curvelet delta oil field.

It can be appreciated that the curvy river and the curvy river delta oil field have the following characteristics: along with the deep development of oilfield water flooding, the flooding levels of development wells at certain parts in the river sand body distributed in a large area are quite different. The large-area distribution river sand bodies are not single river channels, but are caused by lateral superposition of one or more river planes, and complex heterogeneity is formed between different single river channels due to the complexity of the communication mode and the difference of the reservoir properties of the river sand bodies. In addition, the historic well in step 100 is a well that has been drilled and contains a log.

Step 200: and determining the geophysical response characteristics of the reservoirs and the non-reservoirs of the curvelet and the curvelet delta oil field 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, ratio, etc.

Step 300: and improving the drilling success rate of the curved-flow river and the curved-flow river delta oilfield according to the geophysical response characteristics of the reservoir and the non-reservoir and the automatic tracking horizon result.

It can be appreciated that, since the deposition phase of the traw river and the traw river delta has very fast change frequency and strong heterogeneity, the drilling success rate of the traw river and the traw river delta field is low, and this disadvantage can be overcome well by the step 300.

The invention particularly relates to a method for rapidly obtaining information such as a high-density time domain horizon, a structure, a reservoir and the like from seismic data based on a seismic stratigraphy principle, analyzing trap and reservoir preservation conditions by combining logging, rock cores, lithology, structure, sediment, oil-gas-water conditions and the like, and further providing an improved rapid, convenient and comprehensive reservoir formation analysis method for any curvelet and curvelet delta sandstone hydrocarbon reservoir from the perspective of improving the utilization efficiency of the seismic data.

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

step 101: and manufacturing a synthetic seismic record according to the logging data, the layering data, the oil test data, the seismic data and the horizon interpretation data of the historical wells of the curvelet and the curvelet delta oil field.

It can be appreciated that if the horizon is not manually interpreted, the target horizon and the fault need to be manually interpreted according to the synthetic record calibration result.

Step 102: and determining a transverse well connection comparison matching well earthquake relation and wave group characteristics of a typical layer interface according to the synthetic earthquake records.

Step 103: and determining the wave group characteristics of the target layer interface according to the transverse well connection comparison matching well earthquake relation and the wave group characteristics of the typical layer interface.

Specifically, the method comprises the steps of carrying out horizon calibration by combining drilled information, and determining the characteristics of a target layer seismic response wave group.

Step 104: and automatically tracking a top and bottom range and wave group characteristics of the target layer interface according to preset seismic data by utilizing a seismic isochronous method, and generating an automatic tracking horizon result of the target layer.

Specifically, based on the principle of earthquake stratigraphy, the range of the top and bottom of the automatic tracking of the earthquake data is designated, and the wave crest and the wave trough or the wave crest, the wave trough and the zero-phase tracking mode are set to obtain the result of the automatic tracking horizon. It can be understood that the vertical density of the manual fine interpretation horizon can not meet the requirement of water channel recognition, the intelligent automatic tracking horizon usually has a local string time phenomenon, and the manual fine interpretation and the intelligent automatic tracking are combined, so that the dual requirements of the accurate interpretation of the horizon and the large increase of the vertical horizon density can be met. And observing whether an intelligent tracking result obtained under the constraint of the manually interpreted horizon is an isochronous interface or not through the seismic sections of the regional typical main survey line and the interconnection line, and if so, judging that the horizon result is reasonable.

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

step 201: and determining the sand and mudstone geophysical response characteristics of the curtret river and the curtret river delta oil field according to the core data, the logging data and the logging data.

Step 202: and determining the geophysical response characteristics of the reservoirs and the non-reservoirs of the curtret river and the curtret 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 rock cores, logging and logging data, so that the geophysical response characteristics of a reservoir and a non-reservoir are defined.

In one embodiment, referring to fig. 4, the method for improving the drilling success rate of the curved-stream river and the curved-stream delta oilfield further comprises:

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 the seismic sensitivity attribute according to the wave group characteristics of the reservoir.

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

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

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

In one embodiment, referring to fig. 6, the method for improving the drilling success rate of the curved-stream river and the curved-stream delta oilfield further comprises:

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

Step 600: and when the speed abnormality exists in the stratum covered by the target layer, performing time-depth conversion.

In step 500 and step 600, it may be appreciated that the reservoir analysis needs to provide information about the relative structure of the top interface of the sand body reservoir to be analyzed in the investigation region, and if the stratum overlying the target layer of the investigation region has no abnormal speed, the structural information about the relative height of the top interface of the sand body reservoir in the investigation region may be replaced by time horizon structural information in the results of manual interpretation and automatic horizon tracking; if the stratum covered by the target layer of the research area has abnormal speed, the time-depth conversion is needed to be carried out on the time-level structure, so that the structural information of the sand body reservoir top interface in the research area is obtained.

In one embodiment, referring to fig. 7, the method for improving the drilling success rate of the curved-stream river and the curved-stream delta oilfield further comprises:

Step 700: and determining fault plane spread data of the curvelet and delta oil field.

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

step 701: and extracting coherence and inclination parameters of the curvelet and the curvelet delta oil field.

Step 702: and determining fault plane spread data of the curvelet and the curvelet delta oil field according to the coherence and the inclination angle parameters.

In one embodiment, referring to fig. 9, the method for improving the drilling success rate of the curved-stream river and the curved-stream delta oilfield further comprises:

step 800: and judging whether the types of the curvelet and the curvelet delta oil field are 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 distribution data.

Specifically, any drilled oil and gas depth section is selected as a reservoir analysis object, a typical seismic section of the well is passed through, and the artificial interpretation and intelligent tracking results are used as horizon information, lithology and reservoir information, construction information and fault information, and the situation of the drilled oil and gas and water in a research area is combined to judge whether the construction trap or the non-construction trap is formed.

The production and upper storage of the oil and gas field at the present stage is usually a multi-layer 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 forming analysis method is greatly limited, and oil and gas researchers can only select a few or a plurality of typical wells for reservoir forming analysis, so that the reliability and the applicability of the results of the reservoir forming 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 construction, reservoir, fracture research and the like in reservoir formation analysis is greatly reduced, and secondly, the understanding of trapping, preservation conditions and the like is quick and feasible because the works become convenient and the results are finer and richer, so that the research period of geophysical prospecting and geology personnel is greatly shortened, and more importantly, the large-scale and large-quantity well drilling reservoir formation analysis is possible.

And automatically tracking a mode by using an interpretation system based on the seismic data through manually interpreting horizon constraints to obtain a high-density isochronal horizon interface result. The formation analysis only needs to analyze the relative structural information of the top surface of the hydrocarbon reservoir in a research area, if the overlying stratum does not have the condition of abnormal speed, the time domain layer structural information can be used for replacing the step to quickly obtain the structural information of the layer where the sand body is located, and even if the overlying stratum has the special geological condition of abnormal speed, the time domain structure is quite convenient to obtain, and the depth domain structure achievement obtaining speed is greatly accelerated. The invention also has the characteristic that the high-density isochronous horizon interface result is obtained, so that the reservoir and fracture development and distribution conditions can be obtained rapidly on the basis, the characteristics enable the analysis of any trap, cap or shielding condition at the later stage, and the characteristics are the necessary conditions for the large-scale and large-scale well formation analysis.

To further illustrate the present solution, the present invention provides a specific application example of a method for improving drilling success rate of a curved-stream river and curved-stream delta oilfield, which specifically includes the following matters, referring to fig. 10 and 11.

S1: and (5) calibrating a synthetic record.

And (5) performing horizon calibration by using the drilled information in combination with previous researches, and determining the characteristics of the seismic response wave group of the target horizon. As shown in the deep calibration of the target layer M1 in FIG. 12, the top K1tg of the target layer is the strong wave trough reflection characteristic, the wave impedance curve value is rapidly lowered, and the bottom J2t of the target layer is the strong wave crest reflection.

S2: geophysical response characteristics of the reservoir and non-reservoir, fracture, etc. are determined.

Specifically, selecting a drilled well needing to be analyzed, and combining rock core, logging and logging data, and firstly, calibrating response characteristics of sand and mudstone on a seismic section; secondly, intersecting elastic parameters such as longitudinal wave speed-lithology, longitudinal wave impedance-longitudinal and transverse wave speed ratio and the like to find sensitive geophysical elastic parameters; and finally, searching for different lithology and fracture sensitive post-stack seismic attributes through a typical well seismic section post-stack attribute test. Fig. 13 and 14 show the longitudinal wave velocity-transverse wave velocity-argillaceous content intersection and the longitudinal wave impedance-longitudinal transverse wave velocity ratio-logging lithology intersection of the investigation region, and it can be seen that neither the geophysical elastic parameters can distinguish between a reservoir and a non-reservoir. By lithology calibration at the seismic section (fig. 15), property testing shows that sandstone layers exhibit relatively strong amplitude geophysical characteristics at the seismic data relative to mudstone, and therefore, the maximum amplitude is preferably a reservoir sensitive post-stack property.

S3: horizon and fault manual interpretation.

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

S4: an auto-tracking horizon result is generated.

The time window for automatic tracking is given on the seismic data, and tracking is designated according to the wave crest, the zero phase and the wave trough, so that the high-density horizon information in fig. 17 is obtained. The consideration is the result of automatic tracking, and the phenomenon of incomplete horizon and isochronous layer is locally and inevitably present.

S5: the artificial constraint intelligent tracking horizon.

And (4) performing intelligent tracking by taking the artificial interpretation horizon obtained in the step (S4) as a constraint condition, so as to obtain the high-density artificial constraint intelligent tracking horizon as shown in figure 18. Because the manual horizon interpretation scheme is considered, the obtained horizon result is subjected to adjustment and correction on the automatic tracking horizon without constraint conditions while intelligent tracking is performed, so that the manual constraint intelligent tracking horizon is realized, and the like. When the artificial constraint intelligent tracking horizon still has a local string layer, it is also necessary to check whether the artificial interpretation horizon is closed completely and isochronously in three dimensions, or adjust the intelligent tracking parameters until the artificial constraint intelligent tracking horizon is completely and isochronously. As can be seen in fig. 18, the coarse horizon is a manually interpreted result, the fine one is an intelligent tracking result under the constraint of the manually interpreted horizon, the trends of the two are basically consistent, and the two are equal, so that the result is considered to be applicable to the extraction of information of reservoirs, fractures and the like.

S6: and (5) extracting construction information.

The reservoir analysis only needs to provide information about the relative configuration of the top surface of the hydrocarbon reservoir section at the investigation region to be analyzed. If the stratum covered by the target layer has no abnormal speed body, the relative height of the structure of the sand body reservoir top interface in the research area can be replaced by the high-density time horizon obtained in the step 5) to be used as the structure information, and under the condition, the structure research period in the reservoir forming analysis process can be greatly shortened; if the stratum covered by the target layer has a speed abnormality, the speed correction is needed to carry out time-depth conversion on the horizon structure, and further the information of the depth domain of the sandstone top surface of the hydrocarbon reservoir is obtained. In this case, the high density of temporal horizons also greatly compresses the picking time at any level of the temporal domain. The analysis of the well in the investigation region and the adjacent region shows that the overburden formation has no velocity anomaly, and therefore the time domain horizon obtained in step S5 can be used as the structural information (fig. 19).

S7: and (5) extracting fracture information.

The local fracture detection result shows that the imaging effect is good after the coherence enhancement, the large-scale fracture zone, the small-scale fracture and the characterization of the river channel edge are very clear, the signal to noise ratio is improved, and the coherence or dip angle and other attributes are extracted to obtain the fault plane and seismic profile spreading condition as shown in fig. 20 and 21.

S8: and (5) extracting reservoir information.

According to the geophysical characteristics of the sandstone reservoir determined in the step S2, seismic sensitivity attributes, elastic parameters and the like are preferred, the maximum amplitude of a research area is the attribute of the reservoir after sensitive stacking, and any layer of seismic attribute map of a target layer can be extracted based on the high-density layer obtained in the step S5, so that the transverse development characteristics and plane spreading rules of the reservoir are obtained, and the water channel sand body can be engraved better, and water channel and non-water channel sediments can be distinguished (figure 22).

S9: and (5) trap analysis.

The result of the FUD7 well J2t2 small layer 2821-2894m oil test is an oil layer, and daily oil production is 3.6t/d. As can be seen in FIG. 19, the FUD7 well region does not develop a structural trap, which is located relatively high in the structural ramp. The maximum amplitude attribute of fig. 22 shows that the FUD7 develops a large water channel, and FUD12 and FUD071 develop sandstone deposition of the same water channel at the same time, and the plane attribute graph shows that the maximum amplitude attribute of the water channel in the southeast direction is suddenly changed, so that lithology pinch-out of the sand body of the water channel in the southeast direction is shown. And drawing a seismic section along the FUD12, FUD071 and FUD7 well, wherein the red stratum is the position of the oil layer of the FUD7 well, and the oil layer is visible to be characterized by strong peak seismic response, and the amplitude mutation of the strong peak reflection axis in the southeast direction is the weak peak reflection, so that the rock trap of the development of the FUD7 oil layer is judged.

S10: and (5) analyzing the covering layer and shielding conditions.

The research area has 9 drilled wells, and only one oil well is drilled, so that the oil well is a sand shale stratum with more mud and less sand. The neighboring 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 drilling experience shows that the target layer of the region has the same mudstone development and less sandstone. The FUD7 well region destination layer should also have vertical cap conditions based on neighbor experience.

The experience of drilling in the neighborhood also shows that pure sandstone lithological traps in the construction context are usually good hydrocarbon accumulation zones, while the drilled sandstone reservoir sections where lithological traps are not formed in the high construction sites are empty wells or water wells. The FUD7 well develops lithology trap, so that the condition of lateral shielding of oil gas in the southeast direction of a constructed high position exists, and a good oil reservoir is formed.

S11: and (5) storing analysis.

Any well-drilled out disfavored section or oil and gas section is selected as a reservoir analysis object, a typical seismic section of the well is defined as shown in figure 23, fracture information is constructed by high-density horizon information, construction information and reservoir information, a set of oil layers is obtained by combining the 2821-2894 meter oil test results of the FUD7 well J2t2 small layer, daily production is 3.6 tons, the same water channel of the FUD12 well in the declining direction is tested as a water layer, the FUD071 well is not tested, and well logging is interpreted as the water layer. Thus, 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 into the reservoir profile of FIG. 24. The adjacent undeveloped fault of the oil layer of the FUD7 well is located at the relatively higher part of the slope, and the undeveloped fault is trapped. As can be seen from the maximum amplitude attribute, the lithology oil and gas reservoir is formed by the lithology pinch-out of the water channel sand body in the southeast direction of the high-position construction, and good lateral shielding conditions and area vertical cover layer conditions exist, so that the lithology and the construction are judged to be the main control factors of the reservoir formation of the oil outlet interval of the well J2t 2.

S12: the collection patterns are summarized and drawn into collection pattern drawings.

The step S11 can determine that the reservoir formation mode is a structure-lithologic hydrocarbon reservoir, and the reservoir pattern map (fig. 25) can be obtained by simplifying the reservoir profile (fig. 24) and simultaneously highlighting the reservoir formation master control factors.

Compared with the traditional reservoir formation analysis method, the reservoir formation analysis method for the curvelet and the curvelet delta stratum based on the seismic data improvement provided by the embodiment of the invention uses more geophysical means to help rapidly and more acquire information such as horizons, reservoirs, structures and fractures, and has wider applicability, deeper analyzable degree and more comprehensive results than the traditional method. Including the following list:

according to the time-depth relation, the seismic response characteristics of the target layer and the geophysical characteristics of the reservoir, the high-density horizon data are obtained by artificial and intelligent tracking, the reservoir and fracture information are obtained on the basis of the horizon information, and if the overlying stratum has a speed anomaly, the time domain horizon is converted on the depth domain. Based on the construction, high density horizon, reservoir and fracture information, trap and save condition analysis can be performed for any drilled oil (gas) producing layer, and then all drilled reservoir analysis can be performed.

Based on the same inventive concept, the embodiment of the application also provides a device for improving the drilling success rate of the curved-flow river and the curved-flow river delta oilfield, which can be used for realizing the method described in the embodiment, as described in the embodiment below. Because the principle of solving the problems of the drilling success rate improving device for the curved-flow river and the curved-flow river delta oil field is similar to that of the drilling success rate improving method for the curved-flow river and the curved-flow river delta oil field, the implementation of the drilling success rate improving device for the curved-flow river and the curved-flow river delta oil field can be referred to the implementation of the drilling success rate improving method for the curved-flow river and the curved-flow river delta oil field, and repeated parts are omitted. As used below, the term "unit" or "module" may be a combination of software and/or hardware that implements the intended function. While the system described in the following embodiments is preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

The embodiment of the application provides a concrete implementation mode of a drilling success rate improving device for a curved-flow river and a curved-flow river delta oilfield, which can realize the method for improving the drilling success rate of the curved-flow river and the curved-flow river delta oilfield, and the concrete implementation mode of the drilling success rate improving device for the curved-flow river and the curved-flow river delta oilfield comprises the following steps:

A horizon result generating unit 10, configured to generate an auto-tracking horizon result of the destination layer according to logging data, layering data, oil test data, seismic data, and horizon interpretation data of the historical wells of the curvedly river and the curvedly river delta oilfield;

a feature determining unit 20 for determining geophysical response features of reservoirs and non-reservoirs of the curvelet and the triangulated fields from core data, logging data and logging data;

a drilling success rate improving unit 30, configured to improve the drilling success rate of the curved-stream river and the curved-stream river delta oilfield according to the geophysical response characteristics of the reservoir and the non-reservoir and the result of automatically tracking the horizon.

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 the log data, the layering data, the oil test data, the seismic data and the horizon interpretation data of the history wells of the curvelet and the curvelet delta field;

a wave group feature determination first module 102 for determining a transverse well-tie contrast matching well-shock relationship and wave group features of a typical layer interface from the synthetic seismic records;

A wave group feature determining second module 103, configured to determine a wave group feature of the target layer interface according to the transverse well connection comparison matching well earthquake relation and the wave group feature of the typical layer interface;

and the horizon result generating module 104 is configured to automatically track the top-bottom range and the wave group characteristics of the target layer interface according to preset seismic data by using a seismic method and the like, and generate an automatically tracked horizon result of the target layer.

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

a first physical response feature determining module 201, configured to determine a sand and mudstone geophysical response feature of the curved-stream river and curved-stream river delta oil field according to the core data, logging data and logging data;

a physical response characteristics determination second module 202 for determining geophysical response characteristics of the reservoirs and non-reservoirs of the curvelet and curvelet delta fields from the sand, mudstone geophysical response characteristics.

In one embodiment, referring to fig. 29, the device for improving the drilling success rate of the curved-stream river and the curved-stream delta oilfield further comprises:

a plane spread data generating unit 40 for generating lateral and plane spread data of the reservoir according to wave group characteristics of the reservoir.

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

a seismic sensitivity attribute selection module 401, configured to select a seismic sensitivity attribute according to a wave group characteristic of the reservoir;

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

and the plane spread data generating module 403 is configured to generate lateral and plane spread data of the reservoir according to the destination layer sensitive seismic attribute volume.

In one embodiment, referring to fig. 31, the device for improving the drilling success rate of the curved-stream river and the curved-stream delta oilfield further comprises:

a depth data determining unit 50 for determining the destination depth data based on the auto-tracking horizon result;

and a time-depth conversion unit 60 for performing time-depth conversion when the speed abnormality exists in the stratum overlying the target layer.

In one embodiment, referring to fig. 32, the device for improving the drilling success rate of the curved-stream river and the curved-stream delta oilfield further comprises:

and a fault plane spread data determining unit 70, configured to determine fault plane spread data of the curvelet and the curvelet delta field.

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

The dip angle parameter extraction module 701 is configured to extract coherence and dip angle parameters of the curved-stream river and the curved-stream river delta oil field,

the fault plane spread data determining module 702 is configured to determine fault plane spread data of the curved-stream river and curved-stream river delta oil field according to the coherence and inclination parameters.

In one embodiment, referring to fig. 34, the device for improving the drilling success rate of the curved-stream river and the curved-stream delta oilfield further comprises:

and the construction trap judging unit 80 is configured to judge whether the types of the curvelet and the curvelet delta oil fields are construction traps according to the result of the automatic tracking horizon, 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 success rate of drilling the oil field of the curved-flow river and the curved-flow river delta is an improved reservoir analysis method by improving the working efficiency of seismic data in reservoir and cap layer research in reservoir analysis under the condition of the existing data. Therefore, the invention only relates to improving the content of the traditional reservoir forming method based on the use efficiency of the seismic data, and does not relate to the content of other source rocks, transmission conditions and related combination researches in the traditional reservoir forming analysis.

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

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

wherein the processor 1201, the memory 1202 and the communication interface 1203 perform communication with each other through the bus 1204; the communication interface 1203 is configured to enable information transmission between related devices such as a server-side device, a coring device, and a user-side device.

The processor 1201 is configured to invoke a 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 drilling success rate of a traw river and a traw delta oilfield 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 layer according to the logging data, the layering data, the oil test data, the seismic data and the horizon interpretation data of the historical wells of the curvelet and the curvelet delta oil field.

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

The embodiment of the present application also provides a computer readable storage medium capable of implementing all the steps in the method for improving drilling success rate of the trabecular river and the trabecular delta oilfield in the above embodiment, the computer readable storage medium storing a computer program thereon, the computer program implementing all the steps in the method for improving drilling success rate of the trabecular river and the trabecular delta oilfield in the above embodiment when executed by a processor, for example, the processor implementing the following steps when executing the computer program:

From the above description, it can be seen that the computer readable storage medium of the embodiments of the present application, in the case of existing data, improves the efficiency of seismic data in reservoir and cap layer studies in reservoir analysis by improving the method of reservoir analysis. Therefore, the application only relates to improving the content of the traditional reservoir forming method based on the use efficiency of the seismic data, and does not relate to the content of other source rocks, transmission conditions and related combination researches in the traditional reservoir forming analysis.

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a hardware+program class embodiment, the description is relatively simple, as it is substantially similar to the method embodiment, as relevant see the partial description of the method embodiment.

The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can 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 are also possible or may be advantageous.

Although the application provides method operational steps as described in the examples or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented by an actual device or client product, the instructions may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment) as shown in the embodiments or figures.

Although the present description provides method operational steps as described in the examples or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented in an actual device or end product, the instructions may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even in a distributed data processing environment) as illustrated by the embodiments or by 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, it is not excluded that additional identical or equivalent elements may be present in a process, method, article, or apparatus that comprises a described element.

It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 principles and embodiments of the present invention have been described in detail with reference to specific examples, which are provided to facilitate understanding of the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.

Claims

1. A method for improving the drilling success rate of a curved-flow river and a curved-flow river delta oilfield is characterized by comprising the following steps:

generating an automatic tracking horizon result of the target layer according to the logging data, layering data, oil test data, seismic data and horizon interpretation data of the historical wells of the curvelet and the curvelet delta oil field;

improving the drilling success rate of the curved-flow river delta oilfield according to the geophysical response characteristics of the reservoir and the non-reservoir and the result of the automatic tracking horizon;

the generating an automatic tracking horizon result of the target layer according to the logging data, the layering data, the oil test data, the seismic data and the horizon interpretation data of the historical wells of the curvelet and the curvelet delta oil field comprises the following steps:

utilizing an earthquake and the like method to automatically track a top-bottom range and wave group characteristics of the target layer interface according to preset earthquake data to generate an automatic tracking horizon result of the target layer;

The determining the geophysical response characteristics of the reservoirs and the non-reservoirs of the curvelet and the curvelet delta fields according to the core data, the logging data and the logging data comprises the following steps:

determining the geophysical response characteristics of reservoirs and non-reservoirs of the curtret river and the curtret river delta oil field according to the sand and mudstone geophysical response characteristics;

generating transverse and planar spread data of the reservoir according to wave group characteristics of the reservoir;

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

calculating a sensitive seismic attribute body of the target layer according to the seismic sensitive attribute;

2. The drilling success rate enhancement method as described in claim 1, further comprising:

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

And when the speed abnormality exists in the stratum overlying the target layer, performing time-depth conversion.

3. The drilling success rate enhancement method of claim 2, further comprising:

4. The method of claim 3, wherein determining fault plane spread data for the curvelet and curvelet delta fields comprises:

5. The drilling success rate enhancement method as described in claim 4, further comprising:

6. The utility model provides a curved stream river and curved stream river delta oil field drilling success rate improve device which characterized in that includes:

the horizon result generating unit is used for generating an automatic tracking horizon result of the target layer according to logging data, layering data, oil test data, seismic data and horizon interpretation data of the historical wells of the curvelet and the curvelet delta oil field;

the drilling success rate improving unit is used for improving the drilling success rate of the curvelet and the curvelet delta oil field according to the geophysical response characteristics of the reservoir and the non-reservoir and the result of the automatic tracking horizon;

the horizon result generating unit includes:

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

The feature determination unit includes:

a second module for determining physical response characteristics, which is used for determining the geophysical response characteristics of the reservoirs and non-reservoirs of the curvelet and the curvelet delta oil field according to the geophysical response characteristics of the sand and mudstone;

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

the plane spread data generating unit includes:

the sensitive seismic attribute volume calculation module is used for calculating a target layer sensitive seismic attribute volume according to the seismic sensitive attribute;

7. The drilling success rate enhancing device of claim 6, further comprising:

A depth data determining unit, configured to determine depth data of the target layer according to the auto-tracking horizon result;

and the time-depth conversion unit is used for performing time-depth conversion when the speed abnormality exists in the stratum overlying the target layer.

8. The drilling success rate enhancing device of claim 7, further comprising:

9. The drilling success rate enhancing device of claim 8, wherein the fault plane spread data determining unit comprises:

10. The drilling success rate enhancing device of claim 9, further comprising:

11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor performs the steps of the method for improving the success rate of drilling a curved stream river and a curved stream delta oilfield according to any one of claims 1 to 5.

12. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor performs the steps of the method for improving the success rate of drilling a curved stream river and curved stream delta oilfield according to any one of claims 1 to 5.