CN112433248B - Method for detecting hidden reservoir stratum in carbonate rock deposition environment - Google Patents
Method for detecting hidden reservoir stratum in carbonate rock deposition environment Download PDFInfo
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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
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
- G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
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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
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- 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
- G01V1/48—Processing data
- G01V1/50—Analysing data
Abstract
The invention relates to the technical field of energy detection in sedimentary basins and discloses a method for detecting a hidden reservoir stratum under a carbonate rock sedimentary environment. According to the detection method of the hidden reservoir in the carbonate rock deposition environment, the measured data can be more accurate by detecting different types of basins, different detection methods can be set according to different regions, and the detection method can reduce damage to the geological reservoir to the maximum extent.
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, initializes a sub-azimuth imaging array and an azimuth/angle domain imaging array, and initializes the proportion according to 1/10, 2/20 and 3/30;
B. generating carbonate rock blocks with the same number of points as that of an area actually required to be simulated at the carbonate rock deposition speed to form a deposition area comprising different carbonate rock types, and exploring and comparing the divided deoiling from shallow to deep one by one according to the proportion of 1/2-1/4;
C. outputting multidirectional 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 actual required simulation area and the preset proportion;
3) and D, preprocessing the detection data information 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 processing on the steps A-C, and determining a detection method and the whole process;
5) calibrating the wells tracked on the basin, the shallow beach, the sea level and the tableland high-energy zone one by one, then tracking the interpretation horizon, continuously tracking the target reflecting layer through the well-connected profile, determining the position of the interpretation horizon, finely dividing the sequence interface in the interpretation horizon, dividing according to the area of 1/3-3/3, determining the geological meaning of the seismic reflecting interface, and identifying the position of the flooding surface and the type of the 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 no matter in basin and beach or high-energy zone areas of tablelands, and the whole side detection method does not need 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 multidirectional 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) digging and detecting a gentle slope open type system with a band, wherein water in the platform is exchanged smoothly 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 unified high-resolution sequence stratum framework under different geographic positions, slopes, 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, in the step 3), the surrounding environment can work until reaching the standard of equipment detection, and the operation is stopped immediately when the surrounding environment influences any point.
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) b, 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 deposited 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 region according to actual needs and a preset proportion;
3) and D, preprocessing the detection data information 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 processing 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, in the step 3), the surrounding environment can work until reaching the standard of equipment detection, and the operation is stopped immediately when the surrounding environment influences any point.
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 processing on the steps A-C, and determining a detection method and the whole process;
5) calibrating the wells tracked on the basin, the shallow beach, the sea level and the high-energy zone of the platform one by one, then tracking the interpretation horizon, continuously tracking the target reflection layer through the well-connected section, determining the position of the interpretation horizon, finely dividing the sequence interface in the interpretation horizon, dividing according to the area of 3/3, determining the geological meaning of the seismic reflection interface, and identifying the position of the flooding surface and the type of the 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 various 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.
Claims (8)
1. A detection method of a hidden reservoir stratum in a carbonate rock deposition environment is characterized by comprising 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 or 2/20 or 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 deposition areas from shallow to deep one by one, wherein the proportion of the explored and compared deposition areas is 1/2-1/4;
C. outputting multi-orientation imaging data volume
Based on the sub-azimuth imaging data volume, the complex geologic body is described in multiple visual angles, the deposition phenomenon and the deposition process are comprehensively analyzed, and the post-stack attribute which changes along with the azimuth can be extracted;
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 keeping away from the ridge line by 300 square meters to 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 a carbonate rock deposition hidden reservoir;
E. the plane distribution characteristics of the terrace margin and the development period and scale of the internal reef body are determined, the terrace margin is divided to facilitate the reef development zone to detect, and different areas are divided to prevent inaccurate data caused by combination of the two areas.
2. The method for detecting a hidden reservoir in a carbonate deposit environment according to claim 1, further comprising 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, specifically: simulating the area of the area according to actual needs to obtain 20-40% of the area or 40-80% of the area or 80-100% of the area according to a preset proportion;
3) and D, preprocessing the detection data information in the step C, wherein the preprocessing comprises the following steps: performing gain recovery on the far-detection acoustic logging data, and filtering out 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.
3. The method for detecting the hidden reservoir stratum in the carbonate rock deposition environment according to claim 2, wherein the method comprises the following steps: in the step 1), all the data are integrated into an accurate standard data without error and are combined into an industry standard.
4. The method for detecting the hidden reservoir stratum in the carbonate rock deposition environment according to claim 2, wherein the method comprises the following steps: the method for simulating the region in the step 2) is refined and finally divided into three divided areas, and each divided area corresponds to the proportion of 1/60, 10/60 or 30/60 respectively.
5. The method for detecting the hidden reservoir stratum in the carbonate rock deposition environment according to claim 2, wherein the method comprises the following steps: and in the step 3), the surrounding environment can work when reaching the standard of equipment detection, and the operation is stopped immediately when the surrounding environment influences any point.
6. The method for detecting the hidden reservoir stratum in the carbonate rock deposition environment according to claim 2, wherein the method comprises the following steps: the detection method in the step 4) carries out pre-detection and comparison, and compares the pre-detected data with the data obtained by comparison in the step B to ensure that the detection can be carried out formally after no error occurs.
7. The method for detecting the hidden reservoir stratum in the carbonate rock deposition environment according to claim 2, wherein the method comprises the following steps: the quantity and the mode of carbonate rock deposition in each area in the step 5) are different, different detection methods are required no matter in basin and beach or high-energy zone areas of platform land, and the whole detection method does not need to be changed.
8. The method for detecting the hidden reservoir stratum in the carbonate rock deposition environment according to claim 2, wherein the method comprises the following steps: determining the plane distribution characteristics of the platform margin and the development period and scale of the internal reef body in the step 6) and the step 7), defining the platform margin with the reef development zone, establishing carbonate rock deposition response corresponding to the reef under the control of a high-precision sequence stratum framework, and selecting the larger attribute of the hidden reservoir for analysis during geological attribute analysis.
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