CN112433248A - Method for detecting hidden reservoir stratum in carbonate rock deposition environment - Google Patents
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- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 title claims abstract description 107
- 239000011435 rock Substances 0.000 title claims abstract description 95
- 230000008021 deposition Effects 0.000 title claims description 83
- 238000000034 method Methods 0.000 title claims description 34
- 238000001514 detection method Methods 0.000 claims abstract description 62
- 238000003384 imaging method Methods 0.000 claims abstract description 28
- 238000011161 development Methods 0.000 claims description 20
- 238000007781 pre-processing Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 6
- 235000019738 Limestone Nutrition 0.000 claims description 5
- 125000005587 carbonate group Chemical group 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 5
- 239000000945 filler Substances 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 5
- 239000006028 limestone Substances 0.000 claims description 5
- 238000011084 recovery Methods 0.000 claims description 5
- 230000004044 response Effects 0.000 claims description 5
- 238000007789 sealing Methods 0.000 claims description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 5
- 238000009412 basement excavation Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 claims description 2
- 125000004122 cyclic group Chemical group 0.000 claims 1
- 238000007688 edging Methods 0.000 claims 1
- 239000011148 porous material Substances 0.000 claims 1
- 230000018109 developmental process Effects 0.000 description 16
- 230000000630 rising effect Effects 0.000 description 8
- 238000004088 simulation Methods 0.000 description 6
- 230000008859 change Effects 0.000 description 4
- 238000005137 deposition process Methods 0.000 description 4
- 230000010354 integration Effects 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 4
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- 238000007429 general method Methods 0.000 description 1
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- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
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- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/282—Application of seismic models, synthetic seismograms
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/40—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
- G01V1/44—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging using generators and receivers in the same well
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Abstract
本发明涉及沉积盆地内部能源探测技术领域，且公开了一种碳酸盐岩沉积环境下隐蔽储层的探测方法，包括输入设备根据地质任务确定局部目标及其成像范围来确认碳酸盐岩隐蔽储层的分布位置，并对分方位成像数组和方位/角度域成像数组进行初始化，生成与实际需要模拟地区相同点数的碳酸盐岩块，形成包括不同碳酸盐岩类型的沉积区域，将划分的区域由浅到深进行逐个探索和比对。该碳酸盐岩沉积环境下隐蔽储层的探测方法，通过探测不同类型的盆地，可以使测量的数据更加准确，且能够针对不同的地区来进行设定不同的探测方法，这种探测方法可以最大限度的减小对地质储层的损害。The invention relates to the technical field of energy detection in sedimentary basins, and discloses a detection method for a hidden reservoir in a carbonate depositional environment, comprising an input device determining a local target and an imaging range according to a geological task to confirm the hidden carbonate rock The distribution position of the reservoir, initialize the sub-azimuth imaging array and the azimuth/angle domain imaging array, generate carbonate blocks with the same number of points as the actual area to be simulated, and form depositional areas including different types of carbonate rocks. The divided areas are explored and compared one by one from shallow to deep. The detection method of the hidden reservoir in the carbonate sedimentary environment can make the measured data more accurate by detecting different types of basins, and different detection methods can be set for different areas. This detection method can Minimize damage to geological reservoirs.
Description
Technical Field
The invention relates to the technical field of geological internal energy detection, in particular to a method for detecting a hidden reservoir stratum in a carbonate rock deposition environment.
Background
The carbonate rock model is an important auxiliary tool for understanding the distribution of carbonate rock facies and (to a certain extent) the distribution of primary porosity and the storage related to the diagenesis history thereof, with the continuous deepening of oil and gas exploration, the marine carbonate rock formation distribution area gradually becomes an important oil and gas exploration place, the Tarim basin, Sichuan basin and Ordos basin in China have important findings, particularly the recent important breakthrough of the Tarim basin and the Sichuan basin, therefore, the research of the carbonate rock system also enters a new climax, and various viewpoints and methods are layered endlessly, and many terms which are generally used for describing different systems often have different meanings for geologists.
At present, a general method for detecting a hidden reservoir stratum in a carbonate rock deposition environment is to determine the carbonate rock deposition condition through a detection instrument and select an area with the most carbonate rock deposition for detection after determining, and such a side detection method causes resource non-regeneration and resource loss, and a deep beach and a shallow beach will form a fault and collapse of a middle stratum, so that a method for detecting a hidden reservoir stratum in a carbonate rock deposition environment is provided.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a method for detecting a hidden reservoir stratum in a carbonate rock deposition environment, which has the advantage of accurate detection and solves the problem of resource waste caused by error detection.
(II) technical scheme
In order to achieve the purpose of accurate detection, the invention provides the following technical scheme: a method for detecting a hidden reservoir stratum in a carbonate rock deposition environment comprises the following steps:
A. the input equipment determines a local target and an imaging range thereof according to the geological task to confirm the distribution position of carbonate rock deposition, and initializes a sub-azimuth imaging array and an azimuth/angle domain imaging array, wherein the initialization proportion is 1/10, 2/20 and 3/30;
B. generating carbonate rock blocks with the same number of points as that of an actually needed simulation area at the carbonate rock deposition speed to form deposition areas comprising different carbonate rock types, and exploring and comparing the divided deoiling from shallow to deep one by one in a proportion of 1/2-1/4;
C. outputting multi-azimuth imaging data volume Imageinc-azimuth
Based on the sub-azimuth imaging data volume, describing the complex geologic body in multiple visual angles, comprehensively analyzing the deposition phenomenon and the deposition process, and extracting the post-stack attribute which changes along with the azimuth, wherein the extraction amount is 2L-4L;
D. according to the rising or falling of the actual sea level, enabling the carbonate rock blocks on the sides in the carbonate rock deposition areas of various types to be close to or far away from the ridge line, keeping away from the ridge line by 300 square meters to 500 square meters, and analyzing whether the rising of the sea level has influence on the area size of the carbonate rock deposition hidden reservoir;
E. determining the plane distribution characteristics of the terrace margin and the development period and scale of the reef body inside the terrace margin, delimiting the terrace margin to facilitate reef development zones to detect, and dividing different regions to place two regions to combine to generate data;
further, the method also comprises the following steps:
1) c, carrying out carbonate rock deposition physical modeling according to the address area data checked in the step A and the corrected data report data, and carrying out forward modeling on the carbonate rock physical model after modeling to obtain a forward result, wherein the forward result comprises the rock physical elasticity characteristics of sedimentary mud carbonate holes, fillers, pure limestone and hidden reservoirs;
2) determining the initial deposition area and the final deposition area according to the expression of the step B, wherein the initial deposition area and the final deposition area are respectively 20% -40%, 40% -80% and 80% -100% of the area obtained according to the area of the simulated area and the preset proportion;
3) and C, preprocessing the detection data in the step C, wherein the preprocessing comprises the following steps: performing gain recovery on the far detection acoustic logging data, and filtering Stoneley waves and low-frequency noise, wherein the noise frequency is lower than 30HZ-50 HZ;
4) performing integration treatment on the steps A-C, and determining a detection method and the whole process;
5) calibrating each tracked well on basins, shoals, sea levels and high-energy zones of the platform one by one, then tracking an explanation horizon, continuously tracking a target reflection layer through a well-connecting section, determining the position of the explanation horizon, finely dividing a horizon interface in the explanation horizon, dividing according to the area of 1/3-3/3, determining the geological meaning of a seismic reflection interface, and identifying the position of a flooding surface and the type of a system domain;
6) excavating and detecting a gentle slope open type edged system, and smoothly exchanging water in the platform without resistance;
7) and tracking and closing the sequence interfaces of all the distribution layers on the integrated section one by one, mutually correcting the cycle change of the carbonate rock deposition environment and the analysis of the hidden reservoir interface, and establishing a carbonate rock system uniform high-resolution sequence stratum framework under different geographic positions, gradients, sealing properties and fringing properties.
Further, in the step 1), all the data are integrated into an accurate standard data without error, and are combined into an industry standard.
Further, the method for simulating the region in the step 2) is refined, and the region is finally divided into three divided areas, wherein the 1/60-10/60-30/60 proportion of each divided area corresponds to the ratio of the three divided areas.
Further, the surrounding environment in the step 3) can work until reaching the standard of equipment detection, and the operation is stopped immediately when the surrounding environment is influenced a little.
Further, the side probing method in the step 4) performs side pre-probing and comparison, and compares the data of the side pre-probing with the data obtained by the previous comparison, so as to ensure that the side probing can be performed formally after no error occurs.
Further, the quantity and the mode of carbonate rock deposition in each area in the step 5) are different, different side detection methods are required in both basin areas and beaches or high-energy-band areas of the platform, and the whole side detection method is not required to be changed.
Further, the plane distribution characteristics of the platform margin and the development period and scale of the internal reef body of the platform margin are determined in the step 6) and the step 7), a reef development zone is defined for the platform margin, carbonate rock deposition response corresponding to the reefs is established under the control of the high-precision sequence stratum framework, and the larger attribute of the hidden reservoir is selected for analysis during geological attribute analysis.
(III) advantageous effects
Compared with the prior art, the invention provides a method for detecting a hidden reservoir stratum in a carbonate rock deposition environment, which has the following beneficial effects:
1. according to the detection method of the hidden reservoir in the carbonate rock deposition environment, the measured data can be more accurate by detecting areas such as basins, shallow beaches, deep beaches and plateau high-energy zones on different sides, different detection methods can be set for different areas, the detection method which can be changed according to local conditions can be suitable for geology of different sections to conduct exploration, and the damage to geological excavation can be reduced to the maximum extent by the detection method.
2. According to the method for detecting the hidden reservoir in the carbonate rock deposition environment, accurate detection is carried out in proportion, measured data of the carbonate rock of different grids are stable, the frequency hopping condition is avoided, the resource waste condition is avoided according to the method for detecting the hidden reservoir from shallow to deep, and the ecological environment of low-lying areas such as the sea and the basin is not damaged.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.
The first embodiment is as follows:
a method for detecting a hidden reservoir stratum in a carbonate rock deposition environment comprises the following steps:
A. the input equipment determines a local target and an imaging range thereof according to the geological task to confirm the distribution position of carbonate rock deposition, initializes the sub-azimuth imaging array and the azimuth/angle domain imaging array, and initializes the proportion according to 1/10;
B. generating carbonate rock blocks with the same number of points as that of an actually needed simulation area at the carbonate rock deposition speed to form deposition areas comprising different carbonate rock types, and exploring and comparing the divided deoiling from shallow to deep one by one in a proportion of 1/2;
C. outputting multi-azimuth imaging data volume Imageinc-azimuth
Based on the sub-azimuth imaging data volume, describing the complex geologic body in multiple visual angles, comprehensively analyzing the deposition phenomenon and the deposition process, and extracting the post-stack attribute which changes along with the azimuth, wherein the extraction amount is 2L;
D. according to the rising or falling of the actual sea level, enabling the carbonate rock blocks on the sides in the carbonate rock deposition areas of various types to approach or leave the ridge line and keep away from the ridge line by 300 square meters, generating a carbonate rock deposition argillaceous background impedance body according to the corresponding relation between the carbonate rock deposition argillaceous characteristic curve and the elastic impedance, and analyzing whether the rising of the sea level has influence on the area size of the carbonate rock deposition hidden reservoir;
E. determining the plane distribution characteristics of the terrace margin and the development period and scale of the reef body inside the terrace margin, delimiting the terrace margin to facilitate reef development zones to detect, and dividing different regions to place two regions to combine to generate data;
further, the method also comprises the following steps:
1) c, carrying out carbonate rock deposition physical modeling according to the address area data checked in the step A and the corrected data report data, and carrying out forward modeling on the carbonate rock physical model after modeling to obtain a forward result, wherein the forward result comprises the rock physical elasticity characteristics of sedimentary mud carbonate holes, fillers, pure limestone and hidden reservoirs;
2) determining the initial deposition area and the final deposition area according to the expression of the step B, wherein the initial deposition area and the final deposition area are respectively 20% -40% of the area obtained according to the area of the simulation area and the preset proportion which are actually needed;
3) and C, preprocessing the detection data in the step C, wherein the preprocessing comprises the following steps: performing gain recovery on the far detection acoustic logging data, and filtering Stoneley waves and low-frequency noise, wherein the noise frequency is lower than 30HZ-50 HZ;
4) performing integration treatment on the steps A-C, and determining a detection method and the whole process;
5) calibrating the wells tracked on basins, shoals, sea levels and high-energy zones of the platform one by one, then tracking the interpretation horizon, continuously tracking the target reflecting layer through a well-connecting section, determining the position of the interpretation horizon, finely dividing a horizon interface in the interpretation horizon, dividing according to the area of 1/3, determining the geological meaning of a seismic reflecting interface, and identifying the position of a flooding surface and the type of a system domain;
6) excavating and detecting a gentle slope open type edged system, and smoothly exchanging water in the platform without resistance;
7) and tracking and closing the sequence interfaces of all the distribution layers on the integrated section one by one, mutually correcting the cycle change of the carbonate rock deposition environment and the analysis of the hidden reservoir interface, and establishing a carbonate rock system uniform high-resolution sequence stratum framework under different geographic positions, gradients, sealing properties and fringing properties.
Further, in the step 1), all the data are integrated into an accurate standard data without error, and are combined into an industry standard.
Further, the method for simulating the region in the step 2) is refined, and the region is finally divided into three divided areas, wherein 1/60 proportions of each divided area correspond to each other.
Further, the surrounding environment in the step 3) can work until reaching the standard of equipment detection, and the operation is stopped immediately when the surrounding environment is influenced a little.
Further, the side probing method in the step 4) performs side pre-probing and comparison, and compares the data of the side pre-probing with the data obtained by the previous comparison, so as to ensure that the side probing can be performed formally after no error occurs.
Further, the quantity and the mode of carbonate rock deposition in each area in the step 5) are different, different side detection methods are required in both basin areas and beaches or high-energy-band areas of the platform, and the whole side detection method is not required to be changed.
Further, the plane distribution characteristics of the platform margin and the development period and scale of the internal reef body of the platform margin are determined in the step 6) and the step 7), a reef development zone is defined for the platform margin, carbonate rock deposition response corresponding to the reefs is established under the control of the high-precision sequence stratum framework, and the larger attribute of the hidden reservoir is selected for analysis during geological attribute analysis.
Example two:
a method for detecting a hidden reservoir stratum in a carbonate rock deposition environment comprises the following steps:
A. the input equipment determines a local target and an imaging range thereof according to the geological task to confirm the distribution position of carbonate rock deposition, initializes the sub-azimuth imaging array and the azimuth/angle domain imaging array, and initializes the proportion according to 2/20;
B. generating carbonate rock blocks with the same number of points as that of an actually needed simulation area at the carbonate rock deposition speed to form deposition areas comprising different carbonate rock types, and exploring and comparing the divided deoiling from shallow to deep one by one in a proportion of 1/3;
C. outputting multi-azimuth imaging data volume Imageinc-azimuth
Based on the sub-azimuth imaging data volume, describing the complex geologic body in multiple visual angles, comprehensively analyzing the deposition phenomenon and the deposition process, and extracting the post-stack attribute which changes along with the azimuth, wherein the extraction amount is 3L;
D. according to the rising or falling of the actual sea level, enabling the carbonate rock blocks on the sides in the carbonate rock deposition areas of various types to be close to or far from the ridge line and far away from the ridge line by 400 square meters, generating a carbonate rock deposition argillaceous background impedance body according to the corresponding relation between the carbonate rock deposition argillaceous characteristic curve and the elastic impedance, and analyzing whether the rising of the sea level has influence on the area size of the carbonate rock deposition hidden reservoir;
E. determining the plane distribution characteristics of the terrace margin and the development period and scale of the reef body inside the terrace margin, delimiting the terrace margin to facilitate reef development zones to detect, and dividing different regions to place two regions to combine to generate data;
further, the method also comprises the following steps:
1) c, carrying out carbonate rock deposition physical modeling according to the address area data checked in the step A and the corrected data report data, and carrying out forward modeling on the carbonate rock physical model after modeling to obtain a forward result, wherein the forward result comprises the rock physical elasticity characteristics of sedimentary mud carbonate holes, fillers, pure limestone and hidden reservoirs;
2) determining the initial deposition area and the final deposition area according to the expression of the step B, wherein the initial deposition area and the final deposition area are respectively 40-80% of the area obtained by simulating the area of the area according to actual needs and a preset proportion;
3) and C, preprocessing the detection data in the step C, wherein the preprocessing comprises the following steps: performing gain recovery on the far detection acoustic logging data, and filtering Stoneley waves and low-frequency noise, wherein the noise frequency is lower than 40 HZ;
4) performing integration treatment on the steps A-C, and determining a detection method and the whole process;
5) calibrating the wells tracked on basins, shoals, sea levels and high-energy zones of the platform one by one, then tracking the interpretation horizon, continuously tracking the target reflecting layer through a well-connecting section, determining the position of the interpretation horizon, finely dividing a horizon interface in the interpretation horizon, dividing according to the area of 2/3, determining the geological meaning of a seismic reflecting interface, and identifying the position of a flooding surface and the type of a system domain;
6) excavating and detecting a gentle slope open type edged system, and smoothly exchanging water in the platform without resistance;
7) and tracking and closing the sequence interfaces of all the distribution layers on the integrated section one by one, mutually correcting the cycle change of the carbonate rock deposition environment and the analysis of the hidden reservoir interface, and establishing a carbonate rock system uniform high-resolution sequence stratum framework under different geographic positions, gradients, sealing properties and fringing properties.
Further, in the step 1), all the data are integrated into an accurate standard data without error, and are combined into an industry standard.
Further, the method for simulating the region in the step 2) is refined, and the region is finally divided into three divided areas, wherein 10/60 proportions of each divided area correspond to each other.
Further, the surrounding environment in the step 3) can work until reaching the standard of equipment detection, and the operation is stopped immediately when the surrounding environment is influenced a little.
Further, the side probing method in the step 4) performs side pre-probing and comparison, and compares the data of the side pre-probing with the data obtained by the previous comparison, so as to ensure that the side probing can be performed formally after no error occurs.
Further, the quantity and the mode of carbonate rock deposition in each area in the step 5) are different, different side detection methods are required in both basin areas and beaches or high-energy-band areas of the platform, and the whole side detection method is not required to be changed.
Further, the plane distribution characteristics of the platform margin and the development period and scale of the internal reef body of the platform margin are determined in the step 6) and the step 7), a reef development zone is defined for the platform margin, carbonate rock deposition response corresponding to the reefs is established under the control of the high-precision sequence stratum framework, and the larger attribute of the hidden reservoir is selected for analysis during geological attribute analysis.
Example three:
a method for detecting a hidden reservoir stratum in a carbonate rock deposition environment comprises the following steps:
A. the input equipment determines a local target and an imaging range thereof according to the geological task to confirm the distribution position of carbonate rock deposition, initializes the sub-azimuth imaging array and the azimuth/angle domain imaging array, and initializes the proportion according to 3/30;
B. generating carbonate rock blocks with the same number of points as that of an actually needed simulation area at the carbonate rock deposition speed to form deposition areas comprising different carbonate rock types, and exploring and comparing the divided deoiling from shallow to deep one by one in a proportion of 1/4;
C. outputting multi-azimuth imaging data volume Imageinc-azimuth
Based on the sub-azimuth imaging data volume, describing the complex geologic body in multiple visual angles, comprehensively analyzing the deposition phenomenon and the deposition process, and extracting the post-stack attribute which changes along with the azimuth, wherein the extraction amount is 4L;
D. according to the rising or falling of the actual sea level, enabling the carbonate rock blocks on the sides in the carbonate rock deposition areas of various types to approach or be far away from the ridge line and be far away from the ridge line by 500 square meters, generating a carbonate rock deposition argillaceous background impedance body according to the corresponding relation between the carbonate rock deposition argillaceous characteristic curve and the elastic impedance, and analyzing whether the rising of the sea level has influence on the area size of the carbonate rock deposition hidden reservoir;
E. determining the plane distribution characteristics of the terrace margin and the development period and scale of the reef body inside the terrace margin, delimiting the terrace margin to facilitate reef development zones to detect, and dividing different regions to place two regions to combine to generate data;
further, the method also comprises the following steps:
1) c, carrying out carbonate rock deposition physical modeling according to the address area data checked in the step A and the corrected data report data, and carrying out forward modeling on the carbonate rock physical model after modeling to obtain a forward result, wherein the forward result comprises the rock physical elasticity characteristics of sedimentary mud carbonate holes, fillers, pure limestone and hidden reservoirs;
2) determining the initial deposition area and the final deposition area according to the expression of the step B, wherein the initial deposition area and the final deposition area are respectively 80-100% of the area obtained according to the area of the simulation area and the preset proportion which are actually needed;
3) and C, preprocessing the detection data in the step C, wherein the preprocessing comprises the following steps: performing gain recovery on the far detection acoustic logging data, and filtering Stoneley waves and low-frequency noise, wherein the noise frequency is lower than 50 HZ;
4) performing integration treatment on the steps A-C, and determining a detection method and the whole process;
5) calibrating the wells tracked on basins, shoals, sea levels and high-energy zones of the platform one by one, then tracking the interpretation horizon, continuously tracking the target reflecting layer through a well-connecting section, determining the position of the interpretation horizon, finely dividing a horizon interface in the interpretation horizon, dividing according to the area of 3/3, determining the geological meaning of a seismic reflecting interface, and identifying the position of a flooding surface and the type of a system domain;
6) excavating and detecting a gentle slope open type edged system, and smoothly exchanging water in the platform without resistance;
7) and tracking and closing the sequence interfaces of all the distribution layers on the integrated section one by one, mutually correcting the cycle change of the carbonate rock deposition environment and the analysis of the hidden reservoir interface, and establishing a carbonate rock system uniform high-resolution sequence stratum framework under different geographic positions, gradients, sealing properties and fringing properties.
Further, in the step 1), all the data are integrated into an accurate standard data without error, and are combined into an industry standard.
Further, the method for simulating the region in the step 2) is refined, and the region is finally divided into three divided areas, wherein 30/60 proportions of each divided area correspond to each other.
Further, the surrounding environment in the step 3) can work until reaching the standard of equipment detection, and the operation is stopped immediately when the surrounding environment is influenced a little.
Further, the side probing method in the step 4) performs side pre-probing and comparison, and compares the data of the side pre-probing with the data obtained by the previous comparison, so as to ensure that the side probing can be performed formally after no error occurs.
Further, the quantity and the mode of carbonate rock deposition in each area in the step 5) are different, different side detection methods are required in both basin areas and beaches or high-energy-band areas of the platform, and the whole side detection method is not required to be changed.
Further, the plane distribution characteristics of the platform margin and the development period and scale of the internal reef body of the platform margin are determined in the step 6) and the step 7), a reef development zone is defined for the platform margin, carbonate rock deposition response corresponding to the reefs is established under the control of the high-precision sequence stratum framework, and the larger attribute of the hidden reservoir is selected for analysis during geological attribute analysis.
The invention has the beneficial effects that: a detection method of a hidden reservoir in a carbonate rock deposition environment can enable measured data to be more accurate by detecting areas such as basins, shallow beaches, deep beaches and high energy bands of terraces on different sides, can set different detection methods according to different areas, can be suitable for geology of different sections for exploration by the detection method with variable local conditions, can reduce damage to geological excavation to the maximum extent, can accurately detect the hidden reservoir in the carbonate rock deposition environment according to a proportion, can stabilize the measured data of the carbonate rocks of different grillworks, cannot generate frequency hopping, cannot generate the condition of resource waste according to the method for detecting the hidden reservoir from shallow to deep, and cannot damage ecological environments of low-lying areas such as the sea and the basins.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
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Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5892732A (en) * | 1996-04-12 | 1999-04-06 | Amoco Corporation | Method and apparatus for seismic signal processing and exploration |
| US6041017A (en) * | 1996-08-05 | 2000-03-21 | Fred L. Goldsberry | Method for producing images of reservoir boundaries |
| US6092026A (en) * | 1998-01-22 | 2000-07-18 | Bp Amoco Corporation | Seismic signal processing and exploration |
| US20090043507A1 (en) * | 2007-08-01 | 2009-02-12 | Austin Geomodeling, Inc. | Method and system for dynamic, three-dimensional geological interpretation and modeling |
| CN102721984A (en) * | 2012-05-28 | 2012-10-10 | 中国海洋石油总公司 | Method for predicting concealed reservoir in clastic rock |
| CN102809762A (en) * | 2012-08-13 | 2012-12-05 | 成都理工大学 | Reservoir imaging technique based on full-frequency-band seismic information mining |
| CN105044770A (en) * | 2015-07-06 | 2015-11-11 | 成都理工大学 | Compact glutenite gas reservoir quantificational prediction method |
| CN105403929A (en) * | 2015-12-08 | 2016-03-16 | 中国石油天然气股份有限公司 | Method and device for determining alteration degree of TSR (time dependent response) on carbonate oil and gas reservoir |
| CN105489099A (en) * | 2016-01-22 | 2016-04-13 | 中国石油天然气集团公司 | Fracture reservoir seismic physical model and preparation method thereof |
| CN105589098A (en) * | 2014-10-29 | 2016-05-18 | 中国石油天然气股份有限公司 | Reservoir inversion method and system for removing transverse influence of sedimentary argillaceous rocks by carbonate rocks |
| CN106154327A (en) * | 2016-08-17 | 2016-11-23 | 中国石油化工股份有限公司 | A kind of method improving hidden fault recognizing precision |
| CN106291701A (en) * | 2016-10-13 | 2017-01-04 | 成都理工大学 | Reservoir detecting method and device |
| CN106841570A (en) * | 2017-02-09 | 2017-06-13 | 中国地质科学院探矿工艺研究所 | Method for identifying deformation evolution stage of karyoplast landslide of bathyscaph of Chuandong |
| CN107239803A (en) * | 2017-07-21 | 2017-10-10 | 国家海洋局第海洋研究所 | Utilize the sediment automatic classification method of deep learning neutral net |
| WO2017188858A1 (en) * | 2016-04-28 | 2017-11-02 | Schlumberger Canada Limited | Reservoir performance system |
| CN109597126A (en) * | 2018-12-19 | 2019-04-09 | 中国地质大学（北京） | A kind of carbonate platform marginal texture meticulous depiction and prediction technique |
| US20190107642A1 (en) * | 2017-10-11 | 2019-04-11 | Beyond Limits, Inc. | System for improved reservoir exploration and production |
| CN109870719A (en) * | 2019-01-25 | 2019-06-11 | 中国石油天然气集团有限公司 | A kind of carbonate rock thin tight reservoir distribution determination method, apparatus and system |
| CN109946740A (en) * | 2019-03-01 | 2019-06-28 | 成都理工大学 | A seismic resolution enhancement technique based on wide flat spectrum seismic wavelet shaping |
| US20200065620A1 (en) * | 2018-08-24 | 2020-02-27 | Petrochina Company Limited | Method and apparatus for automatically recognizing electrical imaging well logging facies |
| CN110879916A (en) * | 2019-11-05 | 2020-03-13 | 长江大学 | Ecological-based carbonate rock deposition numerical simulation method and system |
| CN110988986A (en) * | 2019-12-25 | 2020-04-10 | 成都理工大学 | A low-frequency enhancement method for seismic data to improve the characterization of deep carbonate reservoirs |
| US20200132869A1 (en) * | 2016-07-15 | 2020-04-30 | Hohai University | Seismic rock physics inversion method based on large area tight reservoir |
-
2020
- 2020-11-10 CN CN202011250436.8A patent/CN112433248B/en active Active
Patent Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5892732A (en) * | 1996-04-12 | 1999-04-06 | Amoco Corporation | Method and apparatus for seismic signal processing and exploration |
| US6041017A (en) * | 1996-08-05 | 2000-03-21 | Fred L. Goldsberry | Method for producing images of reservoir boundaries |
| US6092026A (en) * | 1998-01-22 | 2000-07-18 | Bp Amoco Corporation | Seismic signal processing and exploration |
| US20090043507A1 (en) * | 2007-08-01 | 2009-02-12 | Austin Geomodeling, Inc. | Method and system for dynamic, three-dimensional geological interpretation and modeling |
| CN102721984A (en) * | 2012-05-28 | 2012-10-10 | 中国海洋石油总公司 | Method for predicting concealed reservoir in clastic rock |
| CN102809762A (en) * | 2012-08-13 | 2012-12-05 | 成都理工大学 | Reservoir imaging technique based on full-frequency-band seismic information mining |
| CN105589098A (en) * | 2014-10-29 | 2016-05-18 | 中国石油天然气股份有限公司 | Reservoir inversion method and system for removing transverse influence of sedimentary argillaceous rocks by carbonate rocks |
| CN105044770A (en) * | 2015-07-06 | 2015-11-11 | 成都理工大学 | Compact glutenite gas reservoir quantificational prediction method |
| CN105403929A (en) * | 2015-12-08 | 2016-03-16 | 中国石油天然气股份有限公司 | Method and device for determining alteration degree of TSR (time dependent response) on carbonate oil and gas reservoir |
| CN105489099A (en) * | 2016-01-22 | 2016-04-13 | 中国石油天然气集团公司 | Fracture reservoir seismic physical model and preparation method thereof |
| WO2017188858A1 (en) * | 2016-04-28 | 2017-11-02 | Schlumberger Canada Limited | Reservoir performance system |
| US20200132869A1 (en) * | 2016-07-15 | 2020-04-30 | Hohai University | Seismic rock physics inversion method based on large area tight reservoir |
| CN106154327A (en) * | 2016-08-17 | 2016-11-23 | 中国石油化工股份有限公司 | A kind of method improving hidden fault recognizing precision |
| CN106291701A (en) * | 2016-10-13 | 2017-01-04 | 成都理工大学 | Reservoir detecting method and device |
| CN106841570A (en) * | 2017-02-09 | 2017-06-13 | 中国地质科学院探矿工艺研究所 | Method for identifying deformation evolution stage of karyoplast landslide of bathyscaph of Chuandong |
| CN107239803A (en) * | 2017-07-21 | 2017-10-10 | 国家海洋局第海洋研究所 | Utilize the sediment automatic classification method of deep learning neutral net |
| US20190107642A1 (en) * | 2017-10-11 | 2019-04-11 | Beyond Limits, Inc. | System for improved reservoir exploration and production |
| US20200065620A1 (en) * | 2018-08-24 | 2020-02-27 | Petrochina Company Limited | Method and apparatus for automatically recognizing electrical imaging well logging facies |
| CN109597126A (en) * | 2018-12-19 | 2019-04-09 | 中国地质大学（北京） | A kind of carbonate platform marginal texture meticulous depiction and prediction technique |
| CN109870719A (en) * | 2019-01-25 | 2019-06-11 | 中国石油天然气集团有限公司 | A kind of carbonate rock thin tight reservoir distribution determination method, apparatus and system |
| CN109946740A (en) * | 2019-03-01 | 2019-06-28 | 成都理工大学 | A seismic resolution enhancement technique based on wide flat spectrum seismic wavelet shaping |
| CN110879916A (en) * | 2019-11-05 | 2020-03-13 | 长江大学 | Ecological-based carbonate rock deposition numerical simulation method and system |
| CN110988986A (en) * | 2019-12-25 | 2020-04-10 | 成都理工大学 | A low-frequency enhancement method for seismic data to improve the characterization of deep carbonate reservoirs |
Non-Patent Citations (3)
| Title |
|---|
| YA-JUAN XUE 等: "《EMD and Teager–Kaiser energy applied to hydrocarbon detection in a carbonate reservoir》", 《 GEOPHYSICAL JOURNAL INTERNATIONAL》 * |
| 张贵斌 等: "《偶极横波远探测技术在隐蔽储层识别中的应用》", 《长江大学学报（自科版）》 * |
| 李宁 等: "《复杂碳酸盐岩储层测井评价:中国的创新与发展》", 《测井技术》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113142102A (en) * | 2021-04-30 | 2021-07-23 | 中国石油大学(华东) | Site selection and planting method and device for establishing deepwater coral submarine culture farm |
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