CN111965328B - Method and device for determining silicon contents of different cause types and electronic equipment - Google Patents

Method and device for determining silicon contents of different cause types and electronic equipment Download PDF

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CN111965328B
CN111965328B CN202010781579.5A CN202010781579A CN111965328B CN 111965328 B CN111965328 B CN 111965328B CN 202010781579 A CN202010781579 A CN 202010781579A CN 111965328 B CN111965328 B CN 111965328B
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王建国
顾岱鸿
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China University of Petroleum Beijing
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Abstract

The embodiment of the specification provides a method, a device and an electronic device for determining different causative types of silicon contents, wherein the method comprises the following steps: determining the organic silicon coefficient and the inorganic silicon coefficient of unit mass of a target layer based on the total clay mineral amount and the total organic carbon content of a plurality of rock cores of the target layer; determining the organic silicon content and the inorganic silicon content of the target layer according to the organic silicon coefficient of unit mass, the inorganic silicon coefficient of unit mass and the well logging interpretation data of the target layer; carrying out normalization treatment on the organic silicon content and the inorganic silicon content to obtain normalized organic silicon content and normalized inorganic silicon content; and determining the conversion autogenous silicon content and the terrestrial source supply silicon content of the clay mineral in the normalized inorganic silicon content. The embodiments of the present description may improve the efficiency of determining the silica content of different causative types.

Description

Method and device for determining silicon contents of different cause types and electronic equipment
Technical Field
The specification relates to the technical field of unconventional oil and gas resource exploration and development, in particular to a method, a device and electronic equipment for determining the siliceous content of different cause types.
Background
Shale gas is an important unconventional oil and gas resource. The mass percent of siliceous minerals in the shale is 40-75%, siliceous materials have an important control effect on shale gas enrichment and high yield, and the difference of different types of siliceous contents of shale reservoirs causes strong difference of gas content and rock mechanical properties of shale gas reservoirs in different areas, thereby influencing the fracturing capability of the shale, the fracture inducing form and the development effect of the shale gas. The siliceous sources in shale include three types of terrestrial quartz, clay transformation and organic origin. The land-source siliceous material is mainly a weathered product of parent rock and is carried into sedimentary basins by rivers, glaciers, wind, or the like. The organosilicon material mainly comprises 2 kinds of biostructure and non-biostructure. The biological structure mainly inherits the original structure and structure of the organism, a large amount of quartz with the biological structure can be seen under a scanning electron microscope, the quartz mainly comprises the radioactive insects, the sponginum and the thin-wall mollusk fragments which are more than several microns to dozens of microns, and the content of C, Si element in the biological fragments is higher through energy spectrum element analysis. The non-biological structure is mainly formed by reprecipitation of dissolved silicon in the sea, and mostly appears in the form of cryptocrystal, microcrystal and microcrystal aggregate, the crystallization degree is poor, no clear boundary exists, and mostly appears in the form of cement. The clay transformation siliceous property mainly means that siliceous components are separated out in the illite process of the montmorillonite, but because of the limitation of a layered silicate thin layer, the development of quartz crystals is limited, crystal faces do not develop, the self-formed crystals are less observed in an electron microscope, and the self-formed crystals generally exist in a conglomerate shape and have a cryptocrystalline structure. Therefore, the research on the siliceous type and the content change rule of the siliceous type in the shale reservoir has important significance for identifying favorable intervals for shale gas enrichment exploitation.
In the prior art, three types of siliceous characteristics, such as terrestrial resources, clay transformation, biogenesis and the like, in shale cores taken from field outcrops and underground cores are researched by technical means of slice identification, electron microscope observation, mineral content analysis, scanning electron microscope and the like. However, such techniques based on slice identification, electron microscope observation, mineral content analysis, scanning electron microscope, and the like have low processing efficiency, and are generally not suitable for industrial applications.
Disclosure of Invention
An object of the embodiments of the present disclosure is to provide a method, an apparatus, and an electronic device for determining different causative silicon contents, so as to improve efficiency of determining the different causative silicon contents.
To achieve the above object, in one aspect, the embodiments of the present specification provide a method for determining different causative type silicon contents, comprising:
determining the organic silicon coefficient and the inorganic silicon coefficient of unit mass of a target layer based on the total clay mineral amount and the total organic carbon content of a plurality of rock cores of the target layer;
determining the organic silicon content and the inorganic silicon content of the target layer according to the organic silicon coefficient of unit mass, the inorganic silicon coefficient of unit mass and the well logging interpretation data of the target layer;
carrying out normalization treatment on the organic silicon content and the inorganic silicon content to obtain normalized organic silicon content and normalized inorganic silicon content;
and determining the conversion autogenous silicon content and the terrestrial source supply silicon content of the clay mineral in the normalized inorganic silicon content.
In an embodiment of the present specification, the determining the organic-siliceous coefficient per unit mass and the inorganic-siliceous coefficient per unit mass of the target stratum based on the total amount of clay minerals and the total organic carbon content of the cores of the target stratum includes:
according to the formula
Figure GDA0003240098420000021
Determining the organic silicon coefficient and the inorganic silicon coefficient of the target layer;
wherein, Vsh1And Vsh2Total amount of clay minerals, Q, of core 1 and core 2, respectivelyshIs the inorganic siliceous coefficient per unit mass, TOC1And TOC2Total organic carbon content, Q, of core 1 and core 2, respectivelybioIs the coefficient of organic silicon per unit mass, Q1And Q2The total siliceous amount of core 1 and core 2, respectively.
In an embodiment of the present specification, the determining the organic-silicon content and the inorganic-silicon content of the target layer according to the organic-silicon coefficient per unit mass, the inorganic-silicon coefficient per unit mass, and the well logging interpretation data of the target layer includes:
according to formula Qorgl=TOCl×QbioDetermining the organic silicon content of the target layer according to formula Qinorgl=Vshl×QshDetermining the inorganic siliceous content of the target layer;
wherein Q isorglOrganic silicon content of the target layer, QinorglInorganic silicon as a target layerMass content, TOClTotal organic carbon content, V, of the target zone obtained for well log interpretation datashlThe total amount of clay minerals for the layer of interest obtained based on the well log interpretation data.
In an embodiment of the present specification, the normalizing the content of the organic silicon and the content of the inorganic silicon includes:
according to the formula
Figure GDA0003240098420000031
Obtaining the normalized organic silicon content according to a formula
Figure GDA0003240098420000032
Obtaining the normalized inorganic silicon content;
wherein Q isorgsFor normalized organosilicon content, QinorgsFor normalized inorganic siliceous content, QUA is the total amount of siliceous material from which the target layer was obtained on a volume basis, QorglOrganic silicon content of the target layer, QinorglThe inorganic siliceous content of the target layer.
In an embodiment of the present specification, the determining the normalized inorganic siliceous content, the converting clay mineral into the authigenic siliceous content and the terrestrial-supplied siliceous content, includes:
according to formula Qill=VillX a determining the clay mineral conversion authigenic silicon content in the normalized inorganic silicon content;
according to formula Qter=Qinorgs-QillDetermining the land-source-supplied siliceous content in the normalized inorganic siliceous content;
wherein Q isillIs the normalized conversion of clay mineral in inorganic siliceous content into authigenic siliceous content, VillFor illite content based on well-interpretation data, a is the ratio between the siliceous and illite contents resulting from clay mineral conversion, QterSupplying a siliceous content, Q, to the land source in the normalized inorganic siliceous contentinorgsIs normalized inorganic siliceous content。
In another aspect, embodiments of the present disclosure further provide an apparatus for determining different causative types of silicon contents, including:
the siliceous coefficient determining module is used for determining the organic siliceous coefficient and the inorganic siliceous coefficient of the target layer per unit mass based on the total clay mineral amount and the total organic carbon content of a plurality of rock cores of the target layer;
the first content determination module is used for determining the organic silicon content and the inorganic silicon content of the target layer according to the organic silicon coefficient of unit mass, the inorganic silicon coefficient of unit mass and the logging interpretation data of the target layer;
a silicon content normalization module, configured to perform normalization processing on the organic silicon content and the inorganic silicon content to obtain a normalized organic silicon content and a normalized inorganic silicon content;
and the second content determination module is used for determining the conversion content of the clay mineral into the authigenic silicon content and the terrestrial source supply silicon content in the normalized inorganic silicon content.
In an embodiment of the present specification, the determining the organic-siliceous coefficient per unit mass and the inorganic-siliceous coefficient per unit mass of the target stratum based on the total amount of clay minerals and the total organic carbon content of the cores of the target stratum includes:
according to the formula
Figure GDA0003240098420000041
Determining the organic silicon coefficient and the inorganic silicon coefficient of the target layer;
wherein, Vsh1And Vsh2Total amount of clay minerals, Q, of core 1 and core 2, respectivelyshIs the inorganic siliceous coefficient per unit mass, TOC1And TOC2Total organic carbon content, Q, of core 1 and core 2, respectivelybioIs the coefficient of organic silicon per unit mass, Q1And Q2The total siliceous amount of core 1 and core 2, respectively.
In an embodiment of the present specification, the determining the organic-silicon content and the inorganic-silicon content of the target layer according to the organic-silicon coefficient per unit mass, the inorganic-silicon coefficient per unit mass, and the well logging interpretation data of the target layer includes:
according to formula Qorgl=TOCl×QbioDetermining the organic silicon content of the target layer according to formula Qinorgl=Vshl×QshDetermining the inorganic siliceous content of the target layer;
wherein Q isorglOrganic silicon content of the target layer, QinorglInorganic siliceous content, TOC, of the layer of interestlTotal organic carbon content, V, of the target zone obtained for well log interpretation datashlThe total amount of clay minerals for the layer of interest obtained based on the well log interpretation data.
In an embodiment of the present specification, the determining the normalized inorganic siliceous content, the converting clay mineral into the authigenic siliceous content and the terrestrial-supplied siliceous content, includes:
according to formula Qill=VillX a determining the clay mineral conversion authigenic silicon content in the normalized inorganic silicon content;
according to formula Qter=Qinorgs-QillDetermining the land-source-supplied siliceous content in the normalized inorganic siliceous content;
wherein Q isillIs the normalized conversion of clay mineral in inorganic siliceous content into authigenic siliceous content, VillFor illite content based on well-interpretation data, a is the ratio between the siliceous and illite contents resulting from clay mineral conversion, QterSupplying a siliceous content, Q, to the land source in the normalized inorganic siliceous contentinorgsNormalized inorganic siliceous content.
In another aspect, the present specification further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory, and when the computer program is executed by the processor, the method described above is performed.
As can be seen from the technical solutions provided in the embodiments of the present specification, in the organic siliceous content, the inorganic siliceous content, and the inorganic siliceous content of the target zone, which can be automatically calculated based on the core data and the well logging interpretation data of the target zone, the clay mineral is converted into the authigenic siliceous content and the land-source supplied siliceous content, so that the efficiency of determining the siliceous content of different cause types is improved, and the method is suitable for large-scale industrial application. Moreover, since embodiments of the present description obtain a normalized siliceous content, it reduces or eliminates systematic errors, thereby also improving the accuracy of determining the siliceous content of different causative types.
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In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort. In the drawings:
FIG. 1 is a flow chart of a method of determining silica content of different causative types in some embodiments of the present description;
FIG. 2 is a detailed flow chart of the determination of the silicon content of different causative types in one embodiment of the present disclosure;
FIG. 3 is a schematic diagram of an explanatory result of logging of different types of siliceous materials of YS113 well, Longmaxi Longone section in one embodiment of the present disclosure;
FIG. 4a is a graphical representation of the relationship between total siliceous content and total porosity in one embodiment of the present disclosure;
FIG. 4b is a graphical representation of the relationship between organosilicon content and total porosity in one embodiment of the present disclosure;
FIG. 4c is a graphical representation of clay converted siliceous content versus total porosity for one embodiment of the present disclosure;
FIG. 4d is a graphical representation of the relationship between continental siliceous content and total porosity in one embodiment of the present disclosure;
FIG. 5a is a schematic diagram showing the relationship between the total siliceous content and the total gas content in one embodiment of the present disclosure;
FIG. 5b is a graph showing the relationship between the content of the organosilicon component and the total gas content in one embodiment of the present disclosure;
FIG. 5c is a graphical representation of clay converted siliceous content versus total gas content for one embodiment of the present disclosure;
FIG. 5d is a schematic diagram showing the relationship between terrestrial siliceous content and total gas content in one embodiment of the present disclosure;
FIG. 6 is a block diagram of an apparatus for determining silicon content of different causative types in some embodiments of the present disclosure;
fig. 7 is a block diagram of an electronic device in some embodiments of the present disclosure.
Description of the symbols of the drawings:
61: a silicon coefficient determination module;
62: a first content determination module;
63: a silicon content normalization module;
64: a second content determination module;
s101 to S104 determine the silicon content of different causative types.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step should fall within the scope of protection of the present specification.
Referring to fig. 1, a method for determining the silicon content of different causative types according to an embodiment of the present disclosure may include the following steps:
s101, determining the organic-silicon coefficient and the inorganic-silicon coefficient of the target layer per unit mass based on the total clay mineral amount and the total organic carbon content of the cores of the target layer.
Generally, siliceous sources include three types, organic origin, clay mineral conversion and terrestrial supply. Since clay mineral conversion and land-source supply are essentially inorganic causes, it is considered that siliceous materials in shale are divided into two major components, namely organic causes and inorganic causes (clay mineral conversion and land-source supply). Thus having Qinorg+Qorg=Qtotal. Wherein Q isorgIs organic causative siliceous, QinorgSiliceous of inorganic origin, QtotalIs the total amount of siliceous material.
In the analysis of sedimentary rocks, the abundance of organic matters in the sedimentary rocks is often concerned, which reflects the primary productivity of water bodies and the preservation condition of the organic matters, the total organic carbon content can represent the content of the organic matters, and the organic silicon is closely related to the content of the organic matters. Thus, total organic carbon can be utilized as a biological indicator parameter of the organosilicone. Thus, the quantitative expression for the organosilicon material can be expressed as: qorg=TOC×Qbio. Wherein TOC is total organic carbon content, QbioIs the volume of the organic silicon material per unit mass.
The inorganic siliceous content resulting from the conversion of feldspar to clay minerals, or between different clay mineral types, is related to the clay mineral content in today's shale. Therefore, the level of the total amount of clay minerals can be used as an indicator of the inorganic cause of siliceous properties. Therefore, the quantitative expression of the inorganic siliceous material can be expressed as: qinorg=Vsh×Qsh. Wherein, VshIs the total amount of clay minerals, QshIs the volume of inorganic silicon material per unit mass.
Thus, the relationship between the organic and inorganic siliceous materials and the total quartz content can be further expressed as:
Vsh×Qsh+TOC×Qbio=Qtotal
in an embodiment of the present disclosure, two (or more) component contents (V) may be selected from a plurality of core analysis data of a target zone, as requiredshAnd TOC) and total silica Q, etc. are completeSample point in well brought into the above formula Vsh×Qsh+TOC×Qbio=QtotalThus, the equation can be combined into a linear equation of two elements:
Figure GDA0003240098420000071
by solving the above equation set, Q can be obtained as shown in connection with FIG. 2shAnd QbioTwo parameters. Wherein, Vsh1And Vsh2Total amount of clay minerals, Q, of core 1 and core 2, respectivelyshIs the inorganic siliceous coefficient per unit mass, TOC1And TOC2Total organic carbon content, Q, of core 1 and core 2, respectivelybioIs the coefficient of organic silicon per unit mass, Q1And Q2The total siliceous amount of core 1 and core 2, respectively.
In an exemplary embodiment of the present description, the exemplary wells may follow the principle that for systematic coring data, the target layer coring yield should be greater than 90%; complete core analysis, test analysis and logging information are available; and thirdly, the logging data are representative in the research area.
S102, determining the organic silicon content and the inorganic silicon content of the target layer according to the organic silicon coefficient of unit mass, the inorganic silicon coefficient of unit mass and the logging interpretation data of the target layer.
In an embodiment of the present description, as shown in fig. 2, the formula Q may be usedorgl=TOCl×QbioDetermining the organosilicon content of the target layer, and calculating according to formula Qinorgl=Vshl×QshAnd determining the inorganic siliceous content of the target layer. Wherein Q isorglOrganic silicon content of the target layer, QinorglInorganic siliceous content, TOC, of the layer of interestlTotal organic carbon content, V, of the target zone obtained for well log interpretation datashlThe total amount of clay minerals for the layer of interest obtained based on the well log interpretation data.
S103, carrying out normalization treatment on the organic silicon content and the inorganic silicon content to obtain normalized organic silicon content and normalized inorganic silicon content.
In the examples of the present specification, the TOC is usedlAnd VshlComponent content from well log interpretation, and core analysis values TOC and VshThere is typically some systematic error. Thus, Q calculated therefromorglAnd QinorglThe sum, possibly, is not equal to the total amount of siliceous QUA interpreted by the log. Thus, to unify the system, the calculated values for both inorganic siliceous and organic siliceous materials can be normalized into a well logging system to take advantage of individual well logs and to facilitate large scale processing and lateral comparisons.
In an embodiment of the present disclosure, with reference to fig. 2, the normalizing the content of the organic silicon and the content of the inorganic silicon may include:
according to the formula
Figure GDA0003240098420000081
Obtaining the normalized organic silicon content according to a formula
Figure GDA0003240098420000082
Obtaining the normalized inorganic silicon content; wherein Q isorgsFor normalized organosilicon content, QinorgsFor normalized inorganic siliceous content, QUA is the total amount of siliceous material from which the target layer was obtained on a volume basis, QorglOrganic silicon content of the target layer, QinorglThe inorganic siliceous content of the target layer.
And S104, determining the conversion autogenous silicon content of the clay mineral and the terrestrial source supply silicon content in the normalized inorganic silicon content.
Inorganic siliceous materials have two causes: autogenous siliceous material is produced in land-source supply and clay mineral conversion processes. Thus, Qill+Qter=Qinorgl. Wherein Q isillConversion of clay minerals in inorganic siliceous content to authigenic siliceous content, Qter QillFor supplying land source in inorganic siliceous contentSiliceous content.
Therefore, in an embodiment of the present specification, referring to fig. 2, the determining of the normalized inorganic siliceous content may include:
can be according to the formula Qill=VillX a determining the clay mineral conversion authigenic silicon content in the normalized inorganic silicon content; and can be according to formula Qter=Qinorgs-QillDetermining the land-source-supplied siliceous content in the normalized inorganic siliceous content. Wherein Q isillIs the normalized conversion of clay mineral in inorganic siliceous content into authigenic siliceous content, VillFor illite content based on well-interpretation data, a is the ratio between the siliceous and illite contents resulting from clay mineral conversion, QterSupplying a siliceous content, Q, to the land source in the normalized inorganic siliceous contentinorgsNormalized inorganic siliceous content.
In the examples of the present specification, the ratio a between the siliceous and illite contents produced by the conversion of clay minerals can be determined on a case-by-case basis. Researches show that 2S is released in the process of converting kaolinite and potash feldspar into illiteiO2The ratio of the atomic weight (120) to the atomic weight (398) of illite is 0.3; 3S released during the conversion of montmorillonite to illitei 4+The ratio of its atomic weight (84) to the illite atomic weight (398) was 0.2. Researches also find that in the deep burying process of shale, montmorillonite is converted into illite and 17-28% of S is releasediO217-23% of S released by conversion of illite into muscoviteiO2And 60-80% of water is released from the montmorillonite. By combining the two conversion modes, the ratio of the siliceous material generated by the clay mineral conversion to the illite content can be between 0.2 and 0.3. For example, in an exemplary embodiment, the ratio between the siliceous to illite content resulting from the conversion of the clay mineral may be a value of 0.25 (i.e., a ═ 0.25).
To this end, the normalized organosilicon content (Q) of the target layer is obtainedorgs) And the inorganic siliceous content normalized for the target layer (Q) of the clay mineral converted to autogenous siliceous contentill) And land-supplied siliceous content (Q)ter) Then, the determination of the silicon content of different causative types of the target layer is completed.
Therefore, in the embodiments of the present specification, in the organic siliceous content, the inorganic siliceous content, and the inorganic siliceous content of the target zone, which can be automatically calculated based on the core data and the well logging interpretation data of the target zone, the clay mineral is converted into the authigenic siliceous content and the terrestrial-source supplied siliceous content, so that the efficiency of determining the siliceous content of different cause types is improved, and the method is suitable for large-scale industrial application. Moreover, since embodiments of the present description obtain a normalized siliceous content, it reduces or eliminates systematic errors, thereby also improving the accuracy of determining the siliceous content of different causative types.
An application example of the method for determining the silica content of different causative types based on the above is described below.
The geographical position of the Zhaotong shale gas demonstration area is located at the junction of the three provinces of Yun Gui Chuan, and the north of Yunnan Gui where the main body of the construction position is located at the south edge of the Sichuan basin. The Longmaxi group is divided into a Longxian section and a Longmao section from top to bottom; the dragon section is divided into a dragon-2 sub-section and a dragon-1 sub-section from top to bottom. In the deposition stage of the Longyi 1 sublevel, the north part of the Zhaotong demonstration area is in a deep water terracotta subphase with quiet water body and higher reduction degree, the shale rich in organic matter stably develops, and the thickness of the shale is generally 30-40 m.
And selecting a YS113 well as a key well for modeling. The well has systematic coring data, and the target layer coring yield is 100%; the core-taking section has complete core analysis data of organic carbon, whole rock mineral and clay, scanning electron microscope and the like. Referring to fig. 3, the YS113 well has abundant logging information, such as natural gamma, natural gamma energy spectrum, lithologic density, compensated acoustic wave, compensated neutron, and array laterality, and the logging series of the well is available in other wells in the same block, and the logging curve is representative.
The data quoted mainly comes from the well. And selecting three shale data points from the Longi 2 and the Longi 1 to scale the siliceous mathematical model.The clay mineral content and organic matter content, siliceous gross and rock density of the two depth points are different. Can represent typical characteristics of different types of shale. Establishing a two-dimensional linear equation set according to the test data of the total amount of the clay minerals, the TOC, the siliceous content and the like at two points, and then solving the equation set to calculate QshAnd QbioThe value is obtained. As shown in table 1. This indicates that the organic silica coefficient is larger than the inorganic silica coefficient.
TABLE 1 calculation of different causative silica coefficients from representative samples
Figure GDA0003240098420000091
The illustrative embodiment mainly adopts conventional logging, natural gamma-ray spectroscopy logging and element capture logging data, combines various logging response equations based on a volume model method, and obtains the total quartz quantity (namely the total siliceous quantity QUA) and the illite content (V) by adjusting various input parameters such as mineral logging response parameters, input curve weights and the like and solving and calculating by using an optimization technologyill) Reservoir parameters such as total porosity and gas content.
In summary, the content of the organic silica, the content of the clay mineral-converted silica, and the content of the terrestrial-supplied silica can be calculated by the following formulas:
Qorgl=TOCl×5.67;
Qinorgl=Vshl×0.39;
Figure GDA0003240098420000101
Figure GDA0003240098420000102
Qill=Vill×0.25;
Qter=Qinorgs-Qill
example research shows that the coefficient of the organic silicon can reach 5.67, and the coefficient of the inorganic silicon can reach 0.39; the organic siliceous coefficient is as much as 15 times that of the inorganic siliceous coefficient. And the single well calculation result shows that: at the bottom of the Longmaxi group, there is a siliceous-rich shale section about 5 meters thick, characterized by high total siliceous, organic siliceous content, low clay-converted siliceous and terrestrial siliceous content. The proportion of the organosilicon component in the total siliceous component can be as high as 87.6%, with an average value of 81.3%. The method is consistent with the results of field profile analysis and research of the neighboring cells.
As shown in fig. 4a to 4d, by the intersection of different types of siliceous contents and total porosities, the average total siliceous contents of the long-1 sub-segment and the long-2 sub-segment are almost the same, but the organic siliceous content of the long-1 sub-segment is significantly higher than that of the long-2 sub-segment, and the average clay-to-siliceous content of the long-1 sub-segment is slightly lower than that of the long-2 sub-segment. The continental siliceous content of the longyi 1 sublevel is significantly less than that of the longyi 2 sublevel. The method is consistent with the evolution law of the deposition environment of the Longyi section and the results of core analysis and research of drilling in the adjacent area.
With reference to fig. 5a to 5d, the total siliceous matter content of the ronyi 1 sub-segment is in a positive correlation with the total porosity and the total gas content through the intersection of the siliceous matter contents of different types and the total gas content; there is no correlation between the total siliceous mass of the Longyi 2 sub-segment and the total porosity and total gas content. The organic silicon content of the two subsections is in a positive correlation with the total porosity and the total gas content. The clay conversion siliceous content of the Longyi 1 sublevel is in a negative correlation with the total porosity and the total gas content; the clay conversion siliceous content of the Longyi 2 sub-segment is in positive correlation with the total porosity and the total gas content. The continental-source siliceous content of the two subsections is in a significant negative correlation with the total porosity and the total gas content.
In conclusion, the shale gas enrichment layer section is mainly concentrated on the lower part of the Longyi 1 sublevel with high organic silicon content, and the sublevel can be used as a main layer section for shale gas horizontal well development.
Corresponding to the method for determining the content of the silicon with different cause types, the specification also provides a device for determining the content of the silicon with different cause types. Referring to fig. 6, in some embodiments of the present disclosure, the means for determining the different causative-type silicon content may include:
the siliceous coefficient determining module 61 may be configured to determine an organic siliceous coefficient per unit mass and an inorganic siliceous coefficient per unit mass of the target stratum based on the total clay mineral amount and the total organic carbon content of the cores of the target stratum.
The first content determining module 62 may be configured to determine the organic-silicon content and the inorganic-silicon content of the target layer according to the organic-silicon coefficient per unit mass, the inorganic-silicon coefficient per unit mass, and the well logging interpretation data of the target layer.
The silicon content normalization module 63 may be configured to perform normalization processing on the organic silicon content and the inorganic silicon content to obtain a normalized organic silicon content and a normalized inorganic silicon content.
A second content determination module 64 may be configured to determine a clay mineral converted from a native siliceous content and a terrestrial-supplied siliceous content of the normalized inorganic siliceous content.
In some embodiments of the present disclosure, the determining the siliceous content of different causative types, based on the total clay mineral amount and the total organic carbon content of the cores of the target stratum, the determining the organic-siliceous coefficient per unit mass and the inorganic-siliceous coefficient per unit mass of the target stratum includes:
according to the formula
Figure GDA0003240098420000111
Determining the organic silicon coefficient and the inorganic silicon coefficient of the target layer;
wherein, Vsh1And Vsh2Total amount of clay minerals, Q, of core 1 and core 2, respectivelyshIs the inorganic siliceous coefficient per unit mass, TOC1And TOC2Total organic carbon content, Q, of core 1 and core 2, respectivelybioIs the coefficient of organic silicon per unit mass, Q1And Q2The total siliceous amount of core 1 and core 2, respectively.
In an apparatus for determining different causative types of siliceous materials according to some embodiments of the present disclosure, the determining the organosilicone content and the inorganic siliceous content of the target layer according to the organosilicone coefficient per unit mass, the inorganic siliceous coefficient per unit mass, and well log interpretation data of the target layer includes:
according to formula Qorgl=TOCl×QbioDetermining the organic silicon content of the target layer according to formula Qinorgl=Vshl×QshDetermining the inorganic siliceous content of the target layer;
wherein Q isorglOrganic silicon content of the target layer, QinorglInorganic siliceous content, TOC, of the layer of interestlTotal organic carbon content, V, of the target zone obtained for well log interpretation datashlThe total amount of clay minerals for the layer of interest obtained based on the well log interpretation data.
In an apparatus for determining different causative types of siliceous content according to some embodiments of the present disclosure, the normalizing the organic siliceous content and the inorganic siliceous content comprises:
according to the formula
Figure GDA0003240098420000121
Obtaining the normalized organic silicon content according to a formula
Figure GDA0003240098420000122
Obtaining the normalized inorganic silicon content;
wherein Q isorgsFor normalized organosilicon content, QinorgsFor normalized inorganic siliceous content, QUA is the total amount of siliceous material from which the target layer was obtained on a volume basis, QorglOrganic silicon content of the target layer, QinorglThe inorganic siliceous content of the target layer.
In an apparatus for determining different causative types of siliceous content according to some embodiments of the present disclosure, the determining of normalized inorganic siliceous content wherein clay mineral is converted into authigenic siliceous content and terrestrial-supplied siliceous content comprises:
according to formula Qill=VillX a determining theConverting clay mineral in the normalized inorganic siliceous content into authigenic siliceous content;
according to formula Qter=Qinorgs-QillDetermining the land-source-supplied siliceous content in the normalized inorganic siliceous content;
wherein Q isillIs the normalized conversion of clay mineral in inorganic siliceous content into authigenic siliceous content, VillFor illite content based on well-interpretation data, a is the ratio between the siliceous and illite contents resulting from clay mineral conversion, QterSupplying a siliceous content, Q, to the land source in the normalized inorganic siliceous contentinorgsNormalized inorganic siliceous content.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
In correspondence with the above-described method of determining the silica content of different causative types, the present specification also provides an electronic device. Referring to fig. 7, in some embodiments of the present description, the electronic device may include a memory, a processor, and a computer program stored on the memory, the computer program being executed by the processor to perform the method for determining different cause-type silicon content described above.
While the process flows described above include operations that occur in a particular order, it should be appreciated that the processes may include more or less operations that are performed sequentially or in parallel (e.g., using parallel processors or a multi-threaded environment).
While the process flows described above include operations that occur in a particular order, it should be appreciated that the processes may include more or less operations that are performed sequentially or in parallel (e.g., using parallel processors or a multi-threaded environment).
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (10)

1. A method of determining the silica content of different causative types, comprising:
determining the organic silicon coefficient and the inorganic silicon coefficient of unit mass of a target layer based on the total clay mineral amount and the total organic carbon content of a plurality of rock cores of the target layer;
determining the organic silicon content and the inorganic silicon content of the target layer according to the organic silicon coefficient of unit mass, the inorganic silicon coefficient of unit mass and the well logging interpretation data of the target layer;
carrying out normalization treatment on the organic silicon content and the inorganic silicon content to obtain normalized organic silicon content and normalized inorganic silicon content;
and determining the conversion autogenous silicon content and the terrestrial source supply silicon content of the clay mineral in the normalized inorganic silicon content.
2. The method for determining different causative types of siliceous content according to claim 1, wherein determining the organic-siliceous coefficient per unit mass and the inorganic-siliceous coefficient per unit mass of the core based on the total amount of clay minerals and the total organic carbon content of the cores of the layer of interest comprises:
according to the formula
Figure FDA0003240098410000011
Determining the organic silicon coefficient and the inorganic silicon coefficient of the target layer;
wherein, Vsh1And Vsh2Total amount of clay minerals, Q, of core 1 and core 2, respectivelyshIs the inorganic siliceous coefficient per unit mass, TOC1And TOC2Total organic carbon content, Q, of core 1 and core 2, respectivelybioIs the coefficient of organic silicon per unit mass, Q1And Q2The total siliceous amount of core 1 and core 2, respectively.
3. The method of determining different causative type siliceous content of claim 1, wherein said determining the organic siliceous content and the inorganic siliceous content of the target layer based on the organic siliceous coefficient per unit mass, the inorganic siliceous coefficient per unit mass, and the well-log interpretation data of the target layer comprises:
according to formula Qorgl=TOCl×QbioDetermining the organic silicon content of the target layer according to formula Qinorgl=Vshl×QshDetermining the inorganic siliceous content of the target layer;
wherein Q isorglOrganic silicon content of the target layer, QinorglInorganic siliceous content, TOC, of the layer of interestlTotal organization of a layer of interest for well log interpretation dataCarbon content, VshlThe total amount of clay minerals for the layer of interest obtained based on the well log interpretation data.
4. The method of determining different causative type siliceous content of claim 1, wherein the normalizing the organic siliceous content and the inorganic siliceous content comprises:
according to the formula
Figure FDA0003240098410000021
Obtaining the normalized organic silicon content according to a formula
Figure FDA0003240098410000022
Obtaining the normalized inorganic silicon content;
wherein Q isorgsFor normalized organosilicon content, QinorgsFor normalized inorganic siliceous content, QUA is the total amount of siliceous material from which the target layer was obtained on a volume basis, QorglOrganic silicon content of the target layer, QinorglThe inorganic siliceous content of the target layer.
5. The method of determining different causative-type siliceous content of claim 1, wherein the determining the normalized inorganic siliceous content wherein the clay mineral is converted to a authigenic siliceous content and a terrestrial-supplied siliceous content comprises:
according to formula Qill=VillX a determining the clay mineral conversion authigenic silicon content in the normalized inorganic silicon content;
according to formula Qter=Qinorgs-QillDetermining the land-source-supplied siliceous content in the normalized inorganic siliceous content;
wherein Q isillIs the normalized conversion of clay mineral in inorganic siliceous content into authigenic siliceous content, VillFor illite content based on well-log interpretation data, a is the ratio of siliceous and illite contents produced in clay mineral conversionRatio of between, QterSupplying a siliceous content, Q, to the land source in the normalized inorganic siliceous contentinorgsNormalized inorganic siliceous content.
6. An apparatus for determining the silica content of different causative types, comprising:
the siliceous coefficient determining module is used for determining the organic siliceous coefficient and the inorganic siliceous coefficient of the target layer per unit mass based on the total clay mineral amount and the total organic carbon content of a plurality of rock cores of the target layer;
the first content determination module is used for determining the organic silicon content and the inorganic silicon content of the target layer according to the organic silicon coefficient of unit mass, the inorganic silicon coefficient of unit mass and the logging interpretation data of the target layer;
a silicon content normalization module, configured to perform normalization processing on the organic silicon content and the inorganic silicon content to obtain a normalized organic silicon content and a normalized inorganic silicon content;
and the second content determination module is used for determining the conversion content of the clay mineral into the authigenic silicon content and the terrestrial source supply silicon content in the normalized inorganic silicon content.
7. The apparatus for determining different causative types of siliceous content according to claim 6, wherein determining the organic-siliceous coefficient per unit mass and the inorganic-siliceous coefficient per unit mass of the core of interest based on the total amount of clay minerals and the total organic carbon content of the cores of the core of interest comprises:
according to the formula
Figure FDA0003240098410000031
Determining the organic silicon coefficient and the inorganic silicon coefficient of the target layer;
wherein, Vsh1And Vsh2Total amount of clay minerals, Q, of core 1 and core 2, respectivelyshIs the inorganic siliceous coefficient per unit mass, TOC1And TOC2Total organic carbon content, Q, of core 1 and core 2, respectivelybioIs the coefficient of organic silicon per unit mass, Q1And Q2The total siliceous amount of core 1 and core 2, respectively.
8. The apparatus for determining different causative types of siliceous content of claim 6, wherein said determining the organosilicone content and the inorganic siliceous content of the target layer based on the organosilicone coefficient per unit mass, the inorganic siliceous coefficient per unit mass, and the well-log interpretation data of the target layer comprises:
according to formula Qorgl=TOCl×QbioDetermining the organic silicon content of the target layer according to formula Qinorgl=Vshl×QshDetermining the inorganic siliceous content of the target layer;
wherein Q isorglOrganic silicon content of the target layer, QinorglInorganic siliceous content, TOC, of the layer of interestlTotal organic carbon content, V, of the target zone obtained for well log interpretation datashlThe total amount of clay minerals for the layer of interest obtained based on the well log interpretation data.
9. The apparatus for determining different causative types of siliceous content of claim 6, wherein said determining the normalized inorganic siliceous content wherein the clay mineral is converted to a authigenic siliceous content and a terrestrial-supplied siliceous content comprises:
according to formula Qill=VillX a determining the clay mineral conversion authigenic silicon content in the normalized inorganic silicon content;
according to formula Qter=Qinorgs-QillDetermining the land-source-supplied siliceous content in the normalized inorganic siliceous content;
wherein Q isillIs the normalized conversion of clay mineral in inorganic siliceous content into authigenic siliceous content, VillFor illite content based on well-interpreted data, a is the yield in clay mineral conversionRatio between raw siliceous and illite contents, QterSupplying a siliceous content, Q, to the land source in the normalized inorganic siliceous contentinorgsNormalized inorganic siliceous content.
10. An electronic device comprising a memory, a processor, and a computer program stored on the memory, wherein the computer program, when executed by the processor, performs the method of any of claims 1-5.
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