CN113655523B - Geophysical method and system for quantitatively predicting and evaluating deep carbonate partial cap layer - Google Patents
Geophysical method and system for quantitatively predicting and evaluating deep carbonate partial cap layer Download PDFInfo
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- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 title claims abstract description 52
- 238000000034 method Methods 0.000 title claims abstract description 32
- 239000011435 rock Substances 0.000 claims abstract description 35
- 238000011156 evaluation Methods 0.000 claims abstract description 12
- 238000011160 research Methods 0.000 claims description 31
- 238000004458 analytical method Methods 0.000 claims description 17
- 238000010586 diagram Methods 0.000 claims description 6
- 230000015572 biosynthetic process Effects 0.000 claims 1
- 238000011835 investigation Methods 0.000 claims 1
- 238000011161 development Methods 0.000 abstract description 4
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 abstract description 4
- 238000011158 quantitative evaluation Methods 0.000 abstract description 3
- 238000001514 detection method Methods 0.000 abstract description 2
- 239000003345 natural gas Substances 0.000 abstract description 2
- 239000003209 petroleum derivative Substances 0.000 abstract description 2
- 239000004215 Carbon black (E152) Substances 0.000 description 5
- 229930195733 hydrocarbon Natural products 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000005553 drilling Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000002349 favourable effect Effects 0.000 description 3
- 150000002430 hydrocarbons Chemical class 0.000 description 3
- -1 carbonate hydrocarbon Chemical class 0.000 description 2
- 230000007797 corrosion Effects 0.000 description 2
- 238000005260 corrosion Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000004321 preservation Methods 0.000 description 2
- 238000004451 qualitative analysis Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 235000019738 Limestone Nutrition 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 239000011324 bead Substances 0.000 description 1
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- 238000012512 characterization method Methods 0.000 description 1
- 239000004927 clay Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000012850 discrimination method Methods 0.000 description 1
- 239000010440 gypsum Substances 0.000 description 1
- 229910052602 gypsum Inorganic materials 0.000 description 1
- 239000006028 limestone Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001151 other effect Effects 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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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. for interpretation or for event detection
- G01V1/30—Analysis
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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. for interpretation or for event detection
- G01V1/30—Analysis
- G01V1/303—Analysis for determining velocity profiles or travel times
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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. for interpretation or for event detection
- 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
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/62—Physical property of subsurface
- G01V2210/622—Velocity, density or impedance
- G01V2210/6222—Velocity; travel time
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/62—Physical property of subsurface
- G01V2210/624—Reservoir parameters
- G01V2210/6242—Elastic parameters, e.g. Young, Lamé or Poisson
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/62—Physical property of subsurface
- G01V2210/626—Physical property of subsurface with anisotropy
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Abstract
The invention discloses a geophysical method and a system for quantitatively predicting and evaluating a deep carbonate partial cap layer, which belong to the technical field of petroleum and natural gas seismic exploration in complex detection areas, and when the system executes the method for quantitatively predicting and evaluating the deep carbonate partial cap layer, two quantitative indexes, namely, anisotropic strength (> lower limit threshold value) and poisson ratio (> 0.3 or lower limit threshold value) are used for predicting and evaluating the carbonate partial cap layer, and the carbonate partial cap layer can be determined as long as the two indexes are met. The method solves the problems that the existing method for predicting and evaluating the partial covering layer of the carbonate rock lacks reliability, comprises the lack of quantitative indexes and is difficult to operate in practice. The method can be used for carrying out geophysical prediction quantitative evaluation of the partial covering layer of the carbonate rock, and improves the prediction evaluation precision of the partial covering layer of the carbonate rock, thereby improving the success rate of exploration and development.
Description
Technical Field
The invention relates to the technical field of seismic exploration of petroleum and natural gas in a complex exploration area, in particular to a geophysical method and a geophysical system for quantitatively predicting and evaluating a deep carbonate rock partial cap layer.
Background
The carbonate fracture-cavity type hydrocarbon reservoir is one of the main hydrocarbon reservoir types in the western part of China, and the reservoir is subjected to multi-stage structural fracture, ancient weathering, corrosion and other actions, and is spatially represented as a carbonate fracture-cavity system with very strong heterogeneity, so that an important place is provided for hydrocarbon transportation and aggregation. As carbonate exploration continues to expand towards the deep layer, the exploration target layer system also advances towards the deep layer, and for a favorable exploration target of deep carbonate, an overlying carbonate layer as a direct cap layer may also be a reservoir layer of a shallow exploration target, so that multiple sets of reservoir cap combinations exist. The exploration practice shows that the seismic reflection characteristics of the deep fracture-cavity type reservoir are influenced by the external shape, the internal structure, the fracture density, the later corrosion transformation and other effects of the reservoir, and the seismic response characteristics of the reservoir are represented by strong amplitude reflections such as 'beads, flakes' and the like which develop along a fracture zone. The lithology of the carbonate hydrocarbon reservoir cover layer comprises evaporite (such as gypsum rock), shale, carbonate rock and the like, namely the carbonate rock can be used as a partial cover layer of the carbonate hydrocarbon reservoir, but the carbonate rock needs to meet certain conditions, such as compact lithology, higher argillaceous content and non-development of cracks.
The prior art of predicting and evaluating the local covering layer of the carbonate rock lacks a reliable predicting and evaluating method and a quantized predicting and evaluating index, for example, a crack is one important index, but the prior art of predicting the crack (based on seismic attributes such as coherence, curvature and ant bodies and based on seismic attributes such as superposition amplitude, attenuation and P-wave inversion) has low precision, is only based on qualitative analysis of three-dimensional seismic acquisition data, and is often in the aspect of searching a non-development area of the reservoir from the aspect of predicting the reservoir. The concrete steps are as follows:
(1) A method for predicting a cover layer (namely a differential reservoir layer) based on post-stack seismic data is mainly used for searching the thought of strong continuity, no abnormality and fracture avoidance on seismic reflection. Starting from three-dimensional seismic data, combining with a local compact limestone cover layer existing in a real drilling calibration carbonate rock inner curtain, strong continuous reflection is shown on reflection characteristics, no special geological abnormal body is developed, no obvious impedance change is caused, and the conventional discontinuous detection results show that discontinuous anomalies such as development fracture cracks, stretching grooves and the like are avoided in the area;
(2) Based on a prestack prediction method, carrying out small-scale fracture and crack prediction, and evaluating the effectiveness and preservation conditions of the inner cover layer in the region by combining prestack inversion results;
(3) Corresponding logging analysis, petrophysical analysis and rock breakthrough pressure test are carried out through data such as drilling, logging, coring and the like, so that the effectiveness distinguishing characteristics of the covering layer are initially established.
Most of the earlier prediction and evaluation works are only in qualitative analysis or characteristic analysis in the region, and the evaluation result has multiple resolvability and cannot be popularized and applied to other regions or other layers.
In the prior art, two indexes of poisson ratio and anisotropic strength are not used in the predictive evaluation of carbonate rock, the poisson ratio is an important index parameter for evaluating whether the rock can be subjected to brittle fracture, meanwhile, the poisson ratio can also evaluate the content of the muddy in the rock, if the higher content of the muddy content can cause the poisson ratio to increase, a large number of petrophysical analyses show that the dense carbonate rock has the characteristic of high poisson ratio, and if the anisotropic strength is small, the crack does not develop.
In the prior patent document, CN106948811A discloses a quantitative characterization method for the capping performance of a dense carbonate rock cap layer of a laminated basin, parameters such as pressure, porosity and the like are considered, the test of core breakthrough pressure and porosity cannot be performed under geological conditions such as underground temperature and pressure and the like, and the comparison depends on the parameters of the clay content, so that the influence of anisotropy and cracks is basically not considered. CN110231407a discloses a method for judging the effectiveness of a carbonate rock cover layer, which also depends on laboratory analysis data, has a large gap from actual underground geological conditions, only considers wave impedance parameters, does not give a quantitative evaluation method, has strong heterogeneity of underground rock characteristics, and cannot be widely popularized in the petrophysical analysis of a part of rock samples.
In conclusion, the predictive evaluation method of deep carbonate rock in the prior art is often qualitative research and is not quantitative; in addition, the prior art ignores two important indexes of poisson ratio and anisotropy, and the prediction effect is not ideal.
Disclosure of Invention
The invention aims to provide a geophysical method and a geophysical system for quantitatively predicting and evaluating a deep carbonate partial cap layer, which are used for solving the technical problems that in the prior art, the prediction and evaluation of the deep carbonate partial cap layer can only be qualitatively analyzed, and key indexes are ignored, so that the prediction effect is not ideal.
The technical scheme of the invention is as follows: a geophysical method for quantitatively predicting and evaluating a local cap layer of deep carbonate rock, comprising the steps of:
s1, collecting an anisotropic inversion result and poisson ratio pre-stack inversion result data body of a target interval of a research area, and predicting and evaluating a cover layer by using two indexes of anisotropic strength and poisson ratio;
s2, carrying out physical analysis on a compact layer and a reservoir rock of a target layer section of a research area, determining an anisotropic strength and a Poisson 'S ratio lower limit threshold value standard of the compact layer, and determining an anisotropic strength and a Poisson' S ratio lower limit index;
s3, comparing the anisotropic strength and the Poisson 'S ratio of the target stratum of the research area with the anisotropic strength and the Poisson' S ratio lower limit index, and taking the stratum with the anisotropic strength being larger than the anisotropic strength lower limit index and the Poisson 'S ratio being larger than the Poisson' S ratio lower limit index as the carbonate rock local cover layer of the research area.
Preferably, the anisotropic inversion result is a transverse wave velocity anisotropic inversion result.
Preferably, the value corresponding to the intersection point is taken as the lower threshold value standard of the anisotropic strength of the compact layer by making a normal distribution diagram through the anisotropic values of the compact layer and the reservoir; the lower limit threshold value of the anisotropic strength is used as a lower limit index of the anisotropic strength.
Preferably, the value corresponding to the intersection point is taken as the lower limit threshold value standard of the poisson ratio of the compact layer by taking the value of the poisson ratio of the compact layer and the reservoir as a normal distribution map.
Preferably, if the poisson's ratio lower threshold of the compact layer is greater than 0.3, the lower threshold is used as a lower threshold index of poisson's ratio; if the poisson's ratio lower threshold of the dense layer is less than 0.3, 0.3 is used as the lower threshold index of the poisson's ratio.
Preferably, data meeting the lower limit index is isolated, and the stratum corresponding to the data is used as a carbonate partial cover layer of a research area.
Preferably, the plan view and the section view meeting the index larger than the lower limit are overlapped, and the stratum corresponding to the overlapped plan view and section view is used as the carbonate partial cover layer of the research area.
The invention also proposes a system for carrying out the above method, characterized in that it comprises:
the data body collection module is used for collecting data bodies of the objective interval anisotropic inversion result and the poisson ratio pre-stack inversion result of the research area, and predicting and evaluating the cover layer by using two indexes of the anisotropic strength and the poisson ratio;
the petrophysical analysis module is used for researching physical analysis of a compact layer and a reservoir stratum of a target interval, determining the anisotropic strength and the poisson ratio lower limit threshold value standard of the compact layer and determining the anisotropic strength and the poisson ratio lower limit index;
and the prediction evaluation module is used for comparing the anisotropic strength and the poisson ratio of the target stratum of the research area with the anisotropic strength and the poisson ratio lower limit index, and taking the stratum with the anisotropic strength being larger than the anisotropic strength lower limit index and the poisson ratio being larger than the poisson ratio lower limit index as the carbonate rock local cover layer of the research area.
Compared with the prior art, the invention has the beneficial effects that:
different from the traditional qualitative cap layer prediction method, the quantitative analysis of local compact cap layer evaluation is realized by using the Poisson ratio of pre-stack inversion and the azimuth anisotropy inversion result. The specific effects are as follows:
firstly, a reliable quantitative discrimination method which accords with geological laws is provided for predicting and evaluating the local compact cover layer of the carbonate, which is beneficial to the analysis and research of the earthquake response characteristics of various reservoir layers of deep carbonate and the establishment of earthquake recognition modes, guides the reservoir layer predicting work and improves the recognition precision and quality;
secondly, scientific basis and technical support are provided for subsequent favorable zone division, trap identification and evaluation, target optimization, reserve calculation and the like.
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 needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a diagram of the operational steps of the geophysical method for quantitatively predicting and evaluating a partial cap layer of deep carbonate according to the present invention;
FIG. 2 is a schematic diagram of a geophysical system for quantitatively predicting and evaluating a partial cap layer of deep carbonate according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown.
The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the 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.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1
A geophysical method for quantitatively predicting and evaluating a local overburden of deep carbonate, as shown in figure 1, comprising the steps of:
s1, collecting an anisotropic inversion result and poisson ratio pre-stack inversion result data body of a target interval of a research area, and predicting and evaluating a cover layer by using two indexes of anisotropic strength and poisson ratio.
The anisotropic inversion result is a transverse wave velocity anisotropic inversion result.
S2, carrying out physical analysis on a compact layer and a reservoir rock of a target layer section of a research area, determining an anisotropic strength and a Poisson 'S ratio lower limit threshold value standard of the compact layer, and determining an anisotropic strength and a Poisson' S ratio lower limit index;
the method comprises the steps of performing normal distribution diagram through the anisotropic values of a compact layer and a reservoir, and taking the value corresponding to a junction as a lower threshold value standard of the anisotropic strength of the compact layer; the lower limit threshold value of the anisotropic strength is used as a lower limit index of the anisotropic strength.
And taking the value corresponding to the intersection point as a lower limit threshold value standard of the poisson ratio of the compact layer by taking the value of the poisson ratio of the compact layer and the reservoir as a normal distribution map.
S3, comparing the anisotropic strength and the Poisson 'S ratio of the target stratum of the research area with the anisotropic strength and the Poisson' S ratio lower limit index, and taking the stratum with the anisotropic strength being larger than the anisotropic strength lower limit index and the Poisson 'S ratio being larger than the Poisson' S ratio lower limit index as the carbonate rock local cover layer of the research area.
And isolating data meeting the index greater than the lower limit, wherein the stratum corresponding to the data is used as a carbonate rock local cover layer of a research area.
Example two
A geophysical method for quantitatively predicting and evaluating a local overburden of deep carbonate, as shown in figure 1, comprising the steps of:
s1, collecting an anisotropic inversion result and poisson ratio pre-stack inversion result data body of a target interval of a research area, and predicting and evaluating a cover layer by using two indexes of anisotropic strength and poisson ratio.
The anisotropic inversion result is a transverse wave velocity anisotropic inversion result.
S2, carrying out physical analysis on a compact layer and a reservoir rock of a target layer section of a research area, determining an anisotropic strength and a Poisson 'S ratio lower limit threshold value standard of the compact layer, and determining an anisotropic strength and a Poisson' S ratio lower limit index;
the method comprises the steps of performing normal distribution diagram through the anisotropic values of a compact layer and a reservoir, and taking the value corresponding to a junction as a lower threshold value standard of the anisotropic strength of the compact layer; the lower limit threshold value of the anisotropic strength is used as a lower limit index of the anisotropic strength.
And taking the value corresponding to the intersection point as a lower limit threshold value standard of the poisson ratio of the compact layer by taking the value of the poisson ratio of the compact layer and the reservoir as a normal distribution map. Further, if the poisson's ratio lower threshold value of the compact layer is larger than 0.3, the lower threshold value is used as a lower limit index of the poisson's ratio; if the poisson's ratio lower threshold of the dense layer is less than 0.3, 0.3 is used as the lower threshold index of the poisson's ratio.
S3, comparing the anisotropic strength and the Poisson 'S ratio of the target stratum of the research area with the anisotropic strength and the Poisson' S ratio lower limit index, and taking the stratum with the anisotropic strength being larger than the anisotropic strength lower limit index and the Poisson 'S ratio being larger than the Poisson' S ratio lower limit index as the carbonate rock local cover layer of the research area.
And overlapping the plane view and the section view which meet the index larger than the lower limit, wherein the stratum corresponding to the overlapped plane view and section view is used as the carbonate rock partial cover layer of the research area.
The invention also provides a system for executing the method, as shown in fig. 2, comprising:
the data body collection module is used for collecting data bodies of the objective interval anisotropic inversion result and the poisson ratio pre-stack inversion result of the research area, and predicting and evaluating the cover layer by using two indexes of the anisotropic strength and the poisson ratio;
the petrophysical analysis module is used for researching physical analysis of a compact layer and a reservoir stratum of a target interval, determining the anisotropic strength and the poisson ratio lower limit threshold value standard of the compact layer and determining the anisotropic strength and the poisson ratio lower limit index;
and the prediction evaluation module is used for comparing the anisotropic strength and the poisson ratio of the target stratum of the research area with the anisotropic strength and the poisson ratio lower limit index, and taking the stratum with the anisotropic strength being larger than the anisotropic strength lower limit index and the poisson ratio being larger than the poisson ratio lower limit index as the carbonate rock local cover layer of the research area.
Compared with the prior art, the invention has the beneficial effects that:
the method is different from the traditional qualitative cap layer prediction method, realizes quantitative evaluation of the local compact cap layer on the basis of pre-stack anisotropy parameters and poisson ratio inversion, guides the cap layer prediction work, provides basis for subsequent favorable zone division, trap identification and evaluation and target optimization, improves the local cap layer prediction precision, avoids risks brought by preservation conditions, and further improves the drilling success rate.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (6)
1. A geophysical method for quantitatively predicting and evaluating a local cap layer of deep carbonate rock, comprising the steps of:
s1, collecting an anisotropic inversion result and poisson ratio pre-stack inversion result data body of a target interval of a research area, and predicting and evaluating a cover layer by using two indexes of anisotropic strength and poisson ratio;
s2, carrying out physical analysis on a compact layer and a reservoir rock of a target layer section of a research area, determining an anisotropic strength and a Poisson 'S ratio lower limit threshold value standard of the compact layer, and determining an anisotropic strength and a Poisson' S ratio lower limit index;
s3, comparing the anisotropic strength and the Poisson 'S ratio of the target stratum of the research area with the anisotropic strength and the Poisson' S ratio lower limit index, and taking the stratum with the anisotropic strength being greater than the anisotropic strength lower limit index and the Poisson 'S ratio being greater than the Poisson' S ratio lower limit index as the carbonate rock local cover layer of the research area;
the method comprises the steps of performing normal distribution diagram through the anisotropic values of a compact layer and a reservoir, and taking the value corresponding to a junction as a lower threshold value standard of the anisotropic strength of the compact layer; using the lower limit threshold value of the anisotropic strength as a lower limit index of the anisotropic strength;
and taking the value corresponding to the intersection point as a lower limit threshold value standard of the poisson ratio of the compact layer by taking the value of the poisson ratio of the compact layer and the reservoir as a normal distribution map.
2. A geophysical method for quantitatively predicting and evaluating a regional deep carbonate cap according to claim 1, wherein the anisotropic inversion result is a shear wave velocity anisotropic inversion result.
3. The geophysical method for quantitatively predicting and evaluating a partial cap layer of deep carbonate according to claim 1, wherein if the poisson's ratio lower threshold of the dense layer is greater than 0.3, the lower threshold is used as a lower threshold index of poisson's ratio; if the poisson's ratio lower threshold of the dense layer is less than 0.3, 0.3 is used as the lower threshold index of the poisson's ratio.
4. A geophysical method for quantitatively predicting and evaluating a deep carbonate partial cap according to claim 1, wherein data satisfying a lower limit index is isolated, and the formation corresponding to the data is used as a carbonate partial cap in a study area.
5. The geophysical method for quantitatively predicting and evaluating a partial cap layer of deep carbonate according to claim 1, wherein the plan view and the sectional view satisfying the index larger than the lower limit are superimposed, and the stratum corresponding to the superimposed plan view and sectional view is used as the partial cap layer of carbonate in the investigation region.
6. A system for performing the method of any one of claims 1-5, comprising:
the data body collection module is used for collecting data bodies of the objective interval anisotropic inversion result and the poisson ratio pre-stack inversion result of the research area, and predicting and evaluating the cover layer by using two indexes of the anisotropic strength and the poisson ratio;
the petrophysical analysis module is used for researching physical analysis of a compact layer and a reservoir stratum of a target interval, determining the anisotropic strength and the poisson ratio lower limit threshold value standard of the compact layer and determining the anisotropic strength and the poisson ratio lower limit index;
and the prediction evaluation module is used for comparing the anisotropic strength and the poisson ratio of the target stratum of the research area with the anisotropic strength and the poisson ratio lower limit index, and taking the stratum with the anisotropic strength being larger than the anisotropic strength lower limit index and the poisson ratio being larger than the poisson ratio lower limit index as the carbonate rock local cover layer of the research area.
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