CN111155986A - Method, device, equipment and system for determining well spacing of multi-layer commingled production gas well - Google Patents

Method, device, equipment and system for determining well spacing of multi-layer commingled production gas well Download PDF

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CN111155986A
CN111155986A CN201911372431.XA CN201911372431A CN111155986A CN 111155986 A CN111155986 A CN 111155986A CN 201911372431 A CN201911372431 A CN 201911372431A CN 111155986 A CN111155986 A CN 111155986A
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CN111155986B (en
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田冷
孟艳
顾岱鸿
吴浩
王义鹏
黄灿
王恒力
柴晓龙
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China University of Petroleum Beijing
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    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/30Specific pattern of wells, e.g. optimising the spacing of wells
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00Survey of boreholes or wells
    • E21B47/09Locating or determining the position of objects in boreholes or wells, e.g. the position of an extending arm; Identifying the free or blocked portions of pipes

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Abstract

The embodiment of the specification discloses a method, a device, equipment and a system for determining the well spacing of a multi-layer commingled production gas well. The method comprises the steps of determining the relevance of each small layer; splitting the reservoir information controlled by the single well according to the correlation degree to obtain splitting results corresponding to all the small layers; obtaining the drainage radius of each small layer corresponding to the reservoir information based on the splitting result; determining well spacing information of adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information, wherein the well spacing information comprises well spacing information based on reservoir split and well spacing information based on yield split; and determining the well spacing of the gas well according to the well spacing information. By utilizing the embodiment of the specification, the information of the small layer where the single well is located can be quantitatively evaluated comprehensively in real time, so that the well spacing can be determined scientifically and effectively, and an important theoretical basis is provided for comprehensive adjustment and development planning of the oil field.

Description

Method, device, equipment and system for determining well spacing of multi-layer commingled production gas well
Technical Field
The embodiment scheme of the specification belongs to the technical field of oil and gas field development, and particularly relates to a method, a device, equipment and a system for determining the well spacing of a multi-layer commingled production gas well.
Background
The reservoir of the low-permeability compact gas reservoir has strong heterogeneity and large seepage resistance, and the development process shows different characteristics from the conventional gas reservoir. Therefore, the well spacing of the gas well needs to be determined through a reasonable calculation method, so that better development effect can be achieved. The current commonly used well spacing calculation method is mainly considered and analyzed from the aspects of numerical simulation, physical experiment, economic benefit and the like. Wherein, the numerical simulation method needs a model with higher precision, and the fitting process takes long time; the effect of the physical simulation method depends on the fineness of the reservoir characterization by the physical model, and the cost is high; the economic benefit method mainly considers determining the reasonable well spacing under the condition of meeting certain income, is suitable for the design of the initial well spacing, and has limitation on the determination of the later reasonable well spacing. However, these methods do not consider not only the internal conditions of the reservoir, but also the small-layer differences, with certain limitations.
Therefore, there is a need in the art for a solution that can efficiently determine the well spacing.
Disclosure of Invention
The embodiment of the specification aims to provide a method, a device, equipment and a system for determining the well spacing of a multi-layer commingled production gas well, which can quantitatively evaluate the information of a small layer where a single well is located comprehensively in real time, so that the well spacing can be determined scientifically and effectively, and an important theoretical basis is provided for comprehensive adjustment and development planning of an oil field.
The method, the device, the equipment and the system for determining the well spacing of the multi-layer commingled production gas well are realized in the following modes:
a method for determining well spacing of a multi-layer commingled production gas well comprises the following steps:
determining the relevance of each small layer;
splitting the reservoir information controlled by the single well according to the correlation degree to obtain splitting results corresponding to all the small layers;
obtaining the drainage radius of each small layer corresponding to the reservoir information based on the splitting result;
determining well spacing information of adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information, wherein the well spacing information comprises well spacing information based on reservoir split and well spacing information based on yield split;
and determining the well spacing of the gas well according to the well spacing information.
In another embodiment of the method provided in this specification, the determining the association degree of each small layer includes:
determining evaluation index information of a small layer;
and determining the association degree of each small layer according to a grey association analysis method based on the evaluation index information.
In another embodiment of the method provided in this specification, splitting the reservoir information controlled by the single well according to the association degree to obtain split results corresponding to each stratum includes:
obtaining reservoir information controlled by a single well, wherein the reservoir information comprises reservoir reserves and reservoir yields;
based on the correlation degree, obtaining the reserve ratio coefficient of each small layer;
obtaining reserve splitting results corresponding to the small layers according to the reserve of the reservoir and the reserve ratio coefficient of each small layer;
and obtaining the yield splitting result corresponding to each small layer according to the reservoir yield and the reserve ratio coefficient of each small layer.
In another embodiment of the method provided in this specification, the obtaining, based on the splitting result, a drainage radius of each small layer corresponding to reservoir information includes:
calculating the drainage radius of each small layer corresponding to the reservoir information according to the following formula:
Figure BDA0002340037240000021
wherein r isLiDenotes the leakage radius, N, of the ith sublayerLiThe reserve or yield split result of the ith small layer is shown, i represents the ith small layer, α represents the ratio of dynamic reserve to static reserve, hiDenotes the thickness of the ith small layer, phiiIndicating the porosity of the ith sublayer,
Figure BDA0002340037240000022
indicating the gas saturation of the ith sublayer.
In another embodiment of the method provided in the present specification, the determining well spacing information of adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information includes:
determining well spacing information of adjacent wells based on reservoir split based on a drainage radius obtained by splitting the reservoir included in the reservoir information;
and determining well spacing information of adjacent wells based on yield splitting based on the drainage radius obtained by splitting the yield included in the reservoir information.
In another embodiment of the method provided in this specification, the method includes:
determining well spacing information for adjacent wells according to the following formula:
Dmax=max[rJi]+max[rKi]
Dmin=min[rJi+rKi]
wherein D ismaxRepresenting the maximum well spacing, DminRepresenting minimum well spacing, J, K representing adjacent J-wells and K-wells, respectively, rJiIndicating the drainage radius of the ith sub-layer in the J-well,rKidenotes the drainage radius of the ith sublayer in the K well, i denotes the ith sublayer, max [ r [)Ji]Is represented by rJiMaximum value of (1), max [ r ]Ki]Is represented by rKiMaximum value of middle, min [ r ]Ji+rKi]Is represented by [ rJi+rKi]Minimum value of (1).
In another embodiment of the method provided herein, the determining a well spacing of a gas well based on the well spacing information comprises:
and performing intersection processing on the well spacing information based on the storage amount split and the well spacing information based on the yield split to determine the well spacing of the gas well.
A device for determining the well spacing of a multi-layer commingled gas well, comprising:
the association degree determining module is used for determining the association degree of each small layer;
the splitting module is used for splitting the reservoir information controlled by the single well according to the relevance to obtain splitting results corresponding to all the small layers;
a drainage radius obtaining module, configured to obtain drainage radii of the respective sub-layers corresponding to the reservoir information based on the splitting result;
the adjacent well spacing information determining module is used for determining the well spacing information of the adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information, and the well spacing information comprises well spacing information based on the storage split and well spacing information based on the output split;
and the well spacing determination module is used for determining the well spacing of the gas well according to the well spacing information.
In another embodiment of the apparatus provided in this specification, the association degree determining module includes:
an index information determination unit configured to determine evaluation index information of a small layer;
and the association degree determining unit is used for determining the association degree of each small layer according to a grey association analysis method based on the evaluation index information.
In another embodiment of the apparatus provided in this specification, the splitting module includes:
the reservoir information acquisition unit is used for acquiring reservoir information controlled by a single well, and the reservoir information comprises reservoir reserves and reservoir yields;
an occupation ratio coefficient obtaining unit, configured to obtain a reserve occupation ratio coefficient of each small layer based on the association degree;
the storage amount splitting result obtaining unit is used for obtaining the storage amount splitting result corresponding to each small layer according to the storage amount of the reservoir and the storage amount ratio coefficient of each small layer;
and the yield splitting result obtaining unit is used for obtaining the yield splitting result corresponding to each small layer according to the reservoir yield and the reserve ratio coefficient of each small layer.
In another embodiment of the apparatus provided in this specification, the run-off radius obtaining module includes:
the calculation unit is used for calculating the drainage radius of each small layer corresponding to the reservoir information according to the following formula:
Figure BDA0002340037240000041
wherein r isLiDenotes the leakage radius, N, of the ith sublayerLiThe reserve or yield split result of the ith small layer is shown, i represents the ith small layer, α represents the ratio of dynamic reserve to static reserve, hiDenotes the thickness of the ith small layer, phiiIndicating the porosity of the ith sublayer,
Figure BDA0002340037240000042
indicating the gas saturation of the ith sublayer.
In another embodiment of the apparatus provided herein, the adjacent well spacing information determination module comprises:
the first well spacing information determination unit is used for determining well spacing information of adjacent wells based on reservoir split based on a leakage radius obtained by splitting the reservoir included in the reservoir information;
and the second well spacing information determining unit is used for determining the well spacing information of the adjacent wells based on the yield splitting based on the leakage radius obtained by splitting the yield included in the reservoir information.
In another embodiment of the apparatus provided in the present specification, the apparatus includes:
determining well spacing information for adjacent wells according to the following formula:
Dmax=max[rJi]+max[rKi]
Dmin=min[rJi+rKi]
wherein D ismaxRepresenting the maximum well spacing, DminRepresenting minimum well spacing, J, K representing adjacent J-wells and K-wells, respectively, rJiDenotes the drainage radius, r, of the ith sub-layer in the J-wellKiDenotes the drainage radius of the ith sublayer in the K well, i denotes the ith sublayer, max [ r [)Ji]Is represented by rJiMaximum value of (1), max [ r ]Ki]Is represented by rKiMaximum value of middle, min [ r ]Ji+rKi]Is represented by [ rJi+rKi]Minimum value of (1).
In another embodiment of the apparatus provided herein, the well spacing determination module comprises:
and the well spacing determining unit is used for performing intersection processing on the well spacing information based on the storage amount split and the well spacing information based on the yield split to determine the well spacing of the gas well.
A device for determining well spacing in a multi-layer commingled producing gas well, comprising a processor and a memory for storing processor-executable instructions, which when executed by the processor, implement steps comprising:
determining the relevance of each small layer;
splitting the reservoir information controlled by the single well according to the correlation degree to obtain splitting results corresponding to all the small layers;
obtaining the drainage radius of each small layer corresponding to the reservoir information based on the splitting result;
determining well spacing information of adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information, wherein the well spacing information comprises well spacing information based on reservoir split and well spacing information based on yield split;
and determining the well spacing of the gas well according to the well spacing information.
A system for determining well spacing in a multi-layer commingled producing gas well, comprising at least one processor and a memory storing computer executable instructions which, when executed by the processor, implement the steps of the method of any one of the method embodiments of the present specification.
The specification provides a method, a device, equipment and a system for determining the well spacing of a multi-layer commingled production gas well. In some embodiments, the evaluation indexes are selected to carry out real-time and comprehensive quantitative evaluation on the physical properties of the small layer, so that the evaluation accuracy of the physical properties of the small layer can be effectively improved, and a basis can be provided for obtaining split results subsequently. By splitting the reserves and the yields in real time and performing intersection processing on the well spacing information obtained based on the reserves and the well spacing information obtained based on the yields, the real stratum condition can be reflected more, and more reasonable well spacing can be obtained. The accuracy of the reasonable well spacing determination method is verified through well testing explanation, the feasibility of the method is analyzed, a theoretical basis can be provided for determining the reasonable well spacing of the tight gas reservoir, and an important theoretical basis is provided for comprehensive adjustment and development planning of the oil field. By adopting the implementation scheme provided by the specification, the information of the small layer where the single well is located can be quantitatively evaluated in real time and comprehensively, so that the well spacing can be determined scientifically and effectively, and an important theoretical basis is provided for the comprehensive adjustment and development planning of the oil field.
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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.
FIG. 1 is a schematic flow chart diagram of one embodiment of a method for determining a well spacing for a multi-layer commingled gas well provided herein;
FIG. 2 is a schematic diagram of one embodiment of splitting a single well controlled reserve as provided herein;
FIG. 3 is a schematic diagram of one embodiment of determining a pseudo-maximum well spacing between adjacent wells provided herein;
FIG. 4 is a schematic diagram of one embodiment of determining a pseudo-minimum well spacing between adjacent wells provided herein;
FIG. 5 is a schematic flow chart diagram illustrating one embodiment of a method for determining a well spacing for a multi-layer commingled gas well provided herein;
FIG. 6 is a block diagram of an embodiment of a device for determining the well spacing of a multi-layer commingled gas well provided by the present specification;
fig. 7 is a hardware block diagram of an embodiment of a server for determining the well spacing of a multi-layer commingled gas well provided by the present specification.
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 in the present specification, and not all of the embodiments. All other embodiments that can be obtained by a person skilled in the art on the basis of one or more embodiments of the present description without inventive step shall fall within the scope of protection of the embodiments of the present description.
The conventional well spacing calculation method does not consider the internal condition of a reservoir and small-layer difference, and has certain limitation.
The specification provides a method, a device, equipment and a system for determining the well spacing of a multi-layer commingled production gas well. In some embodiments, the evaluation indexes are selected to carry out real-time and comprehensive quantitative evaluation on the physical properties of the small layer, so that the evaluation accuracy of the physical properties of the small layer can be effectively improved, and a basis can be provided for obtaining split results subsequently; by splitting reserves and yields in real time and performing intersection processing on the well spacing information obtained based on the reserves and the well spacing information obtained based on the yields, the real stratum condition can be reflected more, and more reasonable well spacing can be obtained; the accuracy of the reasonable well spacing determination method is verified through well testing explanation, the feasibility of the method is analyzed, a theoretical basis can be provided for determining the reasonable well spacing of the tight gas reservoir, and an important theoretical basis is provided for comprehensive adjustment and development planning of the oil field.
The following describes an embodiment of the present disclosure with a specific application scenario as an example. Specifically, fig. 1 is a schematic flow chart of an embodiment of a method for determining a well spacing of a multi-layer commingled gas well provided by the present specification. Although the present specification provides the method steps or apparatus structures as shown in the following examples or figures, more or less steps or modules may be included in the method or apparatus structures based on conventional or non-inventive efforts. In the case of steps or structures which do not logically have the necessary cause and effect relationship, the execution order of the steps or the block structure of the apparatus is not limited to the execution order or the block structure shown in the embodiments or the drawings of the present specification. When the described method or module structure is applied to a device, a server or an end product in practice, the method or module structure according to the embodiment or the figures may be executed sequentially or in parallel (for example, in a parallel processor or multi-thread processing environment, or even in an implementation environment including distributed processing and server clustering).
It should be noted that the following description of the embodiments does not limit the technical solutions in other extensible application scenarios based on the present specification. In particular, as shown in fig. 1, in an embodiment of the method for determining the well spacing of a multi-layer commingled gas well provided by the present disclosure, the method may include:
s0: and determining the relevance of each small layer.
Wherein a sublayer is understood to be the smallest unit that combines oil-gas-bearing layers. A reservoir may include one or more small layers. The degree of association may characterize the degree of association between things.
In an embodiment of the present specification, the determining the association degree of each small layer may include: determining evaluation index information of a small layer; and determining the association degree of each small layer according to a grey association analysis method based on the evaluation index information. The evaluation index information may include reservoir permeability, effective thickness, porosity, formation pressure, gas saturation, formation coefficient, and the like. The grey correlation analysis method can be understood as a method for quantitatively describing and comparing the development change situation of a system, namely determining the correlation coefficient and the correlation degree between a reference sequence and a plurality of comparison sequences according to the mathematical basis of space theory. The purpose of the grey correlation analysis includes searching the interrelation among the factors in the system, and finding out the important factors influencing the target value, thereby mastering the main characteristics of the things.
For example, in some implementation scenarios, in order to accurately evaluate the potential of the small layer, six evaluation indexes including reservoir permeability, effective thickness, porosity, formation pressure, gas saturation and formation coefficient may be selected, and then the small layer correlation degree is determined based on a grey correlation analysis method in combination with the selected small layer evaluation index.
In an embodiment of this specification, determining the small-layer association degree based on a gray association analysis method by combining the selected small-layer evaluation index may include: determining a comparison array and a reference array; calculating a grey correlation coefficient according to the comparison number series and the reference number series; based on the gray correlation coefficient, a gray-weighted correlation degree is calculated.
For example, in some implementation scenarios, m evaluation objects may be set, n evaluation indexes may be set, and the reference number sequence may satisfy x0={x0(k) 1,2.. n, the comparison sequence may satisfy xi={xi(k) I |, k ═ 1,2.. n }, i ═ 1,2.. m. For example, if the evaluation index is six in total and n is 6, the reference number sequence of any small layer is m small layers of the reservoir
Figure BDA0002340037240000071
The comparison number is as follows
Figure BDA0002340037240000072
Wherein K represents reservoir permeability, h represents effective thickness, phi represents porosity, P represents formation pressure, SgIndicating gas saturation, Kh formationCoefficients, i denotes the ith sublayer and k denotes the kth index.
In some embodiments, after determining the comparison series and the reference series, the gray correlation coefficient may be calculated according to the following formula:
Figure BDA0002340037240000073
where i denotes the ith sublayer, k denotes the kth index, ξi(k) Representing the comparison sequence x in the ith sublayeriTo reference number sequence x0The gray correlation coefficient on the k-th index, ρ, represents the resolution coefficient. Wherein it can be called
Figure BDA0002340037240000074
Figure BDA0002340037240000075
Two-level minimum difference and two-level maximum difference. In some implementation scenarios, the value of ρ affects the absolute magnitude of the correlation coefficient, but does not affect the relative magnitude of the correlation coefficient. Rho is equal to [0,1 ]]. In general, the larger the resolution coefficient ρ, the larger the resolution.
In some embodiments, after obtaining the gray correlation coefficients, the gray-weighted correlation may be calculated according to the following formula:
Figure BDA0002340037240000081
wherein r isiRepresents the gray-weighted association, omega, of the ith sub-layer to the ideal objectkIndicating the weight corresponding to the k index. In some embodiments, the weights corresponding to the indexes may all be 1, and may also be set according to an actual scene, which is not limited in this specification. In the embodiments of the present specification, the evaluation index information may be increased or decreased according to specific needs, and the weight of each parameter may be adjusted.
In one embodiment of the present disclosure, after obtaining the gray-weighted association degree, the gray-weighted association degree may be analyzed. The larger the degree of correlation is, the better the evaluation effect is, that is, the better the small layer physical property is, and the higher the reserve is.
In the embodiment of the specification, by considering a plurality of evaluation indexes including static parameters and dynamic parameters, the evaluation accuracy of physical properties of a small layer can be effectively improved, so that a basis can be provided for subsequently obtaining splitting results.
S2: and splitting the reservoir information controlled by the single well according to the correlation degree to obtain splitting results corresponding to all the small layers.
The reservoir information may include, among other things, reservoir reserves and reservoir production. Splitting may be understood as assigning the reserves or production of a reservoir to the various sub-layers comprised by the reservoir. The splitting results may include splitting results obtained from reserves and splitting results from yields. Wherein, the reserves can be obtained according to the dynamic historical data of the oil reservoir. The yield can be obtained according to actual daily production data on site. Actual daily production data may be understood as data recorded from daily production of the field. In some implementation scenarios, some exploratory wells are drilled at the initial exploration stage, then whether oil exists is judged through the exploratory wells, and when the oil exists, the exploratory wells have production data, so that the single-well yield can be determined according to the production data. In other implementation scenarios, because the oil field is produced for years, the previously-drilled production wells are not good in production benefit, and at this time, the profit can be increased by drilling more wells, and these newly-drilled wells are infill wells, which may also be called production wells, so that the single-well yield can be determined by drilling infill wells.
In the embodiment of the specification, in order to quantitatively evaluate the reserves and the yields of each small layer of geology, a proper reserve and yield splitting method can be selected. The main methods for splitting at present include a Kh value (formation coefficient) splitting method, a volume method, a mutation method, a production profile testing method and the like. The Kh method and the volume method are simple and easy to implement, but the method only splits reserves according to static parameters of small layers, belongs to a static evaluation method, is limited by the physical properties of a reservoir, does not have time-varying property, and is poor in flexibility; the principle of the production profile testing method is simple, namely the physical properties of the small layer are determined by testing the production and absorption characteristics of the underground small layer, so that the reservoir is split, and the method has the defects that an underground testing tool needs to be put in, the operation is complex, the fluctuation of testing data is large, and the regularity is poor; at present, a mutation method is commonly used in storage amount splitting calculation and achieves a certain application effect, but the method is difficult to accurately predict a complex system with a plurality of evaluation indexes.
In an embodiment of the present specification, the splitting the reservoir information controlled by a single well according to the association degree to obtain splitting results corresponding to each small layer may include: obtaining reservoir information controlled by a single well, wherein the reservoir information comprises reservoir reserves and reservoir yields; based on the correlation degree, obtaining the reserve ratio coefficient of each small layer; obtaining reserve splitting results corresponding to the small layers according to the reserve of the reservoir and the reserve ratio coefficient of each small layer; and obtaining the yield splitting result corresponding to each small layer according to the reservoir yield and the reserve ratio coefficient of each small layer. For example, in some implementation scenarios, the single-well dynamic historical data may be used to perform material balance analysis, establish an RTA single-well model, obtain single-well control dynamic reserves, and then normalize the relevance of each small layer according to the following formula to obtain a reserve ratio coefficient of each small layer:
Figure BDA0002340037240000091
wherein, ciAnd the reserve ratio coefficient of the ith small layer is shown. The RTA is software that performs incremental analysis and production prediction on a hydrocarbon reservoir based on production and wellhead pressure data for the production history of the reservoir.
In an embodiment of the present specification, after obtaining the reserve ratio coefficient of each small layer, the reserve split result of each small layer may be calculated according to the following formula by combining the single well control dynamic reserve and the reserve ratio coefficient of each small layer:
NLi=ci×Nwi(4)
wherein N isLiShowing the reserve splitting result corresponding to the ith layer, NwiRepresenting single well control reserve.
In other implementation scenariosAnd (3) calculating the yield splitting result of each small layer of the single well according to the formula (4) according to the single well yield of the field actual daily production data and the reserve ratio coefficient of each small layer obtained according to the formula (3). The reserve splitting result of each small layer can be understood as the reserve of each small layer, and the yield splitting result of each small layer can be understood as the yield of each small layer. FIG. 2 is a schematic diagram of one embodiment of splitting a single well controlled reserve as provided herein, as shown in FIG. 2. Wherein L is1Layer, L2Layer, L3Layer, L4And the layers respectively represent the reserve splitting results corresponding to all the small layers after the reserve controlled by the single well is split.
It should be noted that the reserves and the yields of the individual small zones of the single well may be calculated by other methods, which is not limited in this specification.
In the embodiment of the specification, quantitative evaluation is performed on the geological reserves and the yield of each small layer by using a plurality of evaluation indexes, so that the evaluation accuracy can be improved, and the improvement guarantee of well spacing can be effectively determined for follow-up science by splitting the reservoir information in real time.
S4: and obtaining the drainage radius of each small layer corresponding to the reservoir information based on the splitting result.
Wherein the splitting results may include reserve-based splitting results and yield-based splitting results. The drainage radius of each sub-layer corresponding to the reservoir information may include a drainage radius of each sub-layer obtained based on the reserve split and a drainage radius of each sub-layer obtained based on the yield split. The drainage radius may be understood as the distance from the reservoir edge to the well center.
In an embodiment of the present specification, the obtaining, based on the splitting result, a drainage radius of each small layer corresponding to the reservoir information may include: calculating the drainage radius of each small layer corresponding to the reservoir information according to the following formula:
Figure BDA0002340037240000101
wherein r isLiDenotes the leakage radius, N, of the ith sublayerLiThe reserve or yield split result of the ith small layer is shown, i represents the ith small layer, α represents the ratio of dynamic reserve to static reserve, hiDenotes the thickness of the ith small layer, phiiIndicating the porosity of the ith sublayer,
Figure BDA0002340037240000102
indicating the gas saturation of the ith sublayer.
For example, in some implementation scenarios, after obtaining the splitting result corresponding to each small layer based on the reserve amount, the drainage radius of each small layer corresponding to the reserve amount may be calculated by using formula (5) based on the selected small layer index parameter. In other implementation scenarios, after obtaining the splitting result corresponding to each small layer based on the yield, the drainage radius of each small layer corresponding to the yield may be calculated by using formula (5) based on the selected small layer index parameter.
The dynamic/static reserve ratio α may be set according to a world scene, and is not limited in this specification.
S6: and determining well spacing information of adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information, wherein the well spacing information comprises well spacing information based on reservoir split and well spacing information based on yield split.
Wherein the well spacing information may include a well spacing range.
In an embodiment of the present specification, the determining well spacing information of adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information may include: determining well spacing information of adjacent wells based on reservoir split based on a drainage radius obtained by splitting the reservoir included in the reservoir information; and determining well spacing information of adjacent wells based on yield splitting based on the drainage radius obtained by splitting the yield included in the reservoir information.
In one embodiment of the present description, the well spacing information for adjacent wells may be determined according to the following formula:
Dmax=max[rJi]+max[rKi](6)
Dmin=min[rJi+rKi](7)
wherein D ismaxRepresenting the maximum well spacing, DminRepresenting minimum well spacing, J, K representing adjacent J-wells and K-wells, respectively, rJiDenotes the drainage radius, r, of the ith sub-layer in the J-wellKiDenotes the drainage radius of the ith sublayer in the K well, i denotes the ith sublayer, max [ r [)Ji]Is represented by rJiMaximum value of (1), max [ r ]Ki]Is represented by rKiMaximum value of middle, min [ r ]Ji+rKi]Is represented by [ rJi+rKi]Minimum value of (1).
For example, in some implementation scenarios, the drainage radii corresponding to the respective sub-layers of the J-well corresponding to the reserves may be compared first, and the maximum value of the drainage radii of all the sub-layers of the J-well corresponding to the reserves may be determined and recorded as the maximum drainage radius max [ r ] of the J-wellJi]Likewise, the maximum of all the drainage radii of the small strata corresponding to the reserves in the K wells of adjacent wells can be determined and recorded as the maximum drainage radius max [ r ] of the K wellKi](ii) a Secondly, the quasi-maximum well spacing D between the J well and the K well can be determined according to the formula (6)max(ii) a The minimum of the sum of reserve-based derived drainage radii for the same sub-strata in the J-well and the K-well may then be selected as the pseudo-minimum well spacing D between the J-well and the K-wellmin(ii) a Finally, after the quasi-maximum well spacing and the quasi-minimum well spacing between the J well and the K well are determined, the quasi-well spacing range of the J well and the K well based on the storage split can be obtained as [ D ]min,Dmax]。
In other implementation scenarios, the drainage radii corresponding to the respective sub-layers in the J-well corresponding to the production may be compared first, and the maximum value among the drainage radii of all the sub-layers in the J-well corresponding to the production is determined and recorded as the maximum drainage radius max [ r ] of the J-wellJi′]Likewise, the maximum of all the leak radii of the small strata corresponding to the production in the K wells of adjacent wells can be determined, denoted as the maximum leak radius max [ r ] of the K wellKi′](ii) a Secondly, the quasi-maximum well spacing D between the J well and the K well can be determined according to the formula (6)max'; the minimum of the sum of the production-based derived drainage radii for the same interval in the J-well and the K-well may then be selected as the pseudo-minimum well spacing D between the J-well and the K-wellmin'; finally, after the quasi-maximum well spacing and the quasi-minimum well spacing between the J well and the K well are determined, the quasi-well spacing range of the J well and the K well based on yield splitting can be obtained as [ D ]min′,Dmax′]。
As shown in fig. 3 and 4, fig. 3 is a schematic diagram of one embodiment of determining a pseudo-maximum well spacing between adjacent wells provided by the present specification, and fig. 4 is a schematic diagram of one embodiment of determining a pseudo-minimum well spacing between adjacent wells provided by the present specification.
S8: and determining the well spacing of the gas well according to the well spacing information.
In an embodiment of the present disclosure, determining a well spacing of a gas well according to the well spacing information may include: and performing intersection processing on the well spacing information based on the storage amount split and the well spacing information based on the yield split to determine the well spacing of the gas well. For example, in some implementations, the range of pseudo-well distances for determining the J-wells and K-wells based on reservoir splits is [ D ]min,Dmax]The range of the simulated well spacing of the J well and the K well based on the yield split is [ D ]min′,Dmax′]Then, can take [ D ]min,Dmax]And [ D ]min′,Dmax′]The intersection of the two well spacing is used as the finally determined reasonable well spacing of the gas well.
In the embodiment of the specification, after the well spacing of the gas well is determined, the accuracy of the reasonable well spacing determination method can be verified through well testing explanation, and the feasibility of the method is analyzed, so that an important theoretical basis is provided for comprehensive adjustment and development planning of the oil field.
In the embodiment of the specification, after the well spacing of the gas wells is determined, the number of wells to be drilled in the target area can be determined according to the well spacing, and therefore the wells are drilled to develop oil and gas.
The following describes an embodiment of the present disclosure with a specific application scenario as an example. Specifically, fig. 5 is a schematic flow chart of an embodiment of a method for determining a well spacing of a multi-layer commingled gas well provided in the present specification. Wherein the J-well and the K-well are adjacent wells of the M-block, the method may comprise the steps of:
s10: and selecting a small-layer evaluation index.
The physical parameters of each sublayer of the M-block J-well are shown in Table 1. The physical property parameter can be understood as average index information.
TABLE 1 Small layer-related physical Properties parameters
Figure BDA0002340037240000121
S12: and determining the degree of association of the small layer.
In this embodiment, the physical parameters of each layer and each parameter may be numbered in sequence by combining the physical parameters of the small layers in table 1 to determine the comparison sequence x (i, k), and then the physical parameters may be subjected to linear transformation, i.e., dispersion normalization, in layers according to the min-max normalization theory to obtain the normalized comparison sequence x*(i, k). Specifically, the normalization process may be performed according to the following formula:
Figure BDA0002340037240000122
where i represents the ith sublayer (object), i ∈ [1,4 ]]K represents the kth evaluation index, and k is [1,6 ]],x*(i, k) represents the normalized comparison sequence, x*(i,k)∈(0,1)。
In this embodiment, after the comparison number series is normalized, the optimal values of the individual indexes are all 1, and therefore, 1 may be selected as the reference value of all the indexes, so as to obtain the comparison number series and the reference number series shown in table 2.
TABLE 2 comparative and reference series
Figure BDA0002340037240000123
In this embodiment, in determining the comparison number series and the reference number series, the gray correlation coefficient may be calculated according to formula (1). After obtaining the gray correlation coefficients, the gray-weighted correlation degree can be calculated according to equation (2). Where ρ is 0.5. The weight of six physical property parameters is 1. The obtained grey correlation coefficient and grey-weighted correlation degree are shown in table 3.
TABLE 3 Grey correlation coefficient and Grey-weighted correlation
Figure BDA0002340037240000131
S14: reservoir reserves are split.
In the embodiment, the material balance analysis can be performed by using single well dynamic historical data, then on the basis, an RTA single well model is established, and the single well control dynamic reserve N of the well is calculatedwiIs 4.8 multiplied by 105m3
In this embodiment, the obtained gray-weighted correlation is combined to obtain the reserve ratio coefficient of the small layer according to the formula (3), as shown in table 4.
TABLE 4 reserves fraction factor of small layer
Figure BDA0002340037240000132
In this embodiment, the dynamic reserve N can be controlled in combination with the obtained single wellwiAnd calculating according to a formula (4) to obtain the reserves corresponding to the small layers, as shown in table 5.
TABLE 5 stock split results
Figure BDA0002340037240000133
S16: a small layer bleed radius based on reservoir splitting is determined.
In this embodiment, the small layer leakage radius can be obtained by using the formula (5) in combination with the reserve corresponding to each small layer, the small layer thickness, the small layer porosity, and the small layer gas saturation. The run-off radii for each sub-layer based on reservoir splitting in the J-well are shown in table 6.
TABLE 6 Small layer drainage radius based on reservoir splitting in well
Figure BDA0002340037240000141
Accordingly, since the K-well is a neighboring well of the M-zone J-well, the process of determining the drainage radius of the K-well sub-zone can refer to the above determination steps S10-S16. The specific calculation results are as follows:
the physical properties of each layer in the M-block K well are shown in Table 7.
TABLE 7 relevant physical parameters for the small layers
Figure BDA0002340037240000142
In the K well, the comparative and reference series are identified as shown in Table 8.
TABLE 8 comparative and reference series
Figure BDA0002340037240000143
The gray correlation coefficients and gray-weighted correlation degrees obtained for the K wells are shown in Table 9.
In the K well, the dynamic historical data of the single well can be utilized to carry out material balance analysis, and then an RTA single well model is established on the basis to obtain the single well controlled dynamic reserve of the well of 3.3 multiplied by 105m3. The reserve fraction coefficients for the small layers obtained in combination with the obtained gray-weighted relevance are shown in table 10.
TABLE 9 Grey correlation coefficient and Grey-weighted correlation
Figure BDA0002340037240000151
TABLE 10 reserves fraction factor for small layers
Figure BDA0002340037240000152
The reserves corresponding to each small zone obtained in the K well are shown in table 11.
TABLE 11 reserves splitting results
Figure BDA0002340037240000153
The drainage radius of each small zone obtained in the K well is shown in Table 12.
TABLE 12 Small layer drainage radius based on reservoir splitting in well
Figure BDA0002340037240000154
S18: and determining the range of the simulated well distance.
According to the small layer drainage radius of the K well and the J well, the formulas (6) and (7), the quasi-maximum well spacing between the J, K wells based on the storage split is 1069.04m, the quasi-minimum well spacing is 661.87m, and the quasi-well spacing range based on the storage split is 661.87-1069.04 m.
Further, in this embodiment, according to the RTA single well model, the bedding leak radius of the J-well based on the yield split (as shown in table 13) and the bedding leak radius of the K-well based on the yield split (as shown in table 14) can be determined accordingly.
Small layer drainage radius based on yield splitting in well of Table 13J
Figure BDA0002340037240000161
TABLE 14K Small layer drainage radius in well based on yield splitting
Figure BDA0002340037240000162
Correspondingly, the pseudo-maximum well spacing between the J, K wells based on the yield split is 1305.75m, the pseudo-minimum well spacing is 803.24m, and the pseudo-well spacing range based on the yield split is 803.24-1305.75 m.
S20: and determining the well spacing range of the gas well.
In the embodiment, the intersection of 661.87-1069.04 m and 803.24-1305.75 m is 803.24-1069.04 m, so 803.24-1069.04 m can be used as the finally determined reasonable well spacing of the gas well.
S22: well testing interpretation analysis.
In the initial development stage, edge detection tests are carried out on J, K wells in the M block, and well test analysis results show that the gas well discharge radius is 419.45-523.89 meters, and the reasonable well spacing is not more than 1200 meters. The results of the well test are compared to the results of the calculations as shown in table 15. As can be seen from the relative errors in Table 15, the relative error between the results obtained by the scheme of the present application and the well testing results is small, which indicates that the more accurate the results are, the closer the results are to the field well testing results. It should be noted that in the petroleum industry, well testing results are typically obtained on the basis of 2 times the radius of the drainage flow obtained from the well testing. In addition, the relative error in the reasonable well spacing as determined by the prior art is typically in the range of 5% to 10%.
Table 15M block well testing results are compared with calculated results
Figure BDA0002340037240000163
According to the method for determining the well spacing of the multilayer commingled gas well, the small-layer physical property is comprehensively and quantitatively evaluated in real time by selecting a plurality of evaluation indexes, so that the evaluation accuracy of the small-layer physical property can be effectively improved, and a basis can be provided for obtaining a splitting result subsequently. By splitting the reserves and the yields in real time and performing intersection processing on the well spacing information obtained based on the reserves and the well spacing information obtained based on the yields, the real stratum condition can be reflected more, and more reasonable well spacing can be obtained. The accuracy of the reasonable well spacing determination method is verified through well testing explanation, the feasibility of the method is analyzed, a theoretical basis can be provided for determining the reasonable well spacing of the tight gas reservoir, and an important theoretical basis is provided for comprehensive adjustment and development planning of the oil field.
In the present specification, each embodiment of the method is described in a progressive manner, and the same and similar parts in each embodiment may be joined together, and each embodiment focuses on the differences from the other embodiments. Reference is made to the description of the method embodiments.
Based on the method for determining the well spacing of the multi-layer commingled producing gas well, one or more embodiments of the specification further provide a device for determining the well spacing of the multi-layer commingled producing gas well. The apparatus may include systems (including distributed systems), software (applications), modules, components, servers, clients, etc. that use the methods described in the embodiments of the present specification in conjunction with any necessary apparatus to implement the hardware. Based on the same innovative conception, embodiments of the present specification provide an apparatus as described in the following embodiments. Since the implementation scheme of the apparatus for solving the problem is similar to that of the method, the specific implementation of the apparatus in the embodiment of the present specification may refer to the implementation of the foregoing method, and repeated details are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Specifically, fig. 6 is a schematic block diagram of an embodiment of the device for determining the well spacing of the multi-layer commingled producing gas well provided by the present specification, and as shown in fig. 6, the device for determining the well spacing of the multi-layer commingled producing gas well provided by the present specification may include: the system comprises a relevancy determination module 120, a splitting module 122, a leakage flow radius obtaining module 124, an adjacent well spacing information determination module 126 and a well spacing determination module 128.
A relevance determining module 120, configured to determine relevance of each small layer;
the splitting module 122 may be configured to split the reservoir information controlled by the single well according to the association degree, so as to obtain splitting results corresponding to each small layer;
a drainage radius obtaining module 124, configured to obtain drainage radii of the respective sub-layers corresponding to the reservoir information based on the splitting result;
the adjacent well spacing information determining module 126 may be configured to determine the well spacing information of the adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information, where the well spacing information includes well spacing information based on reservoir split and well spacing information based on yield split;
and the well spacing determination module 128 can be used for determining the well spacing of the gas well according to the well spacing information.
Based on the description of the foregoing method, in another embodiment of the apparatus described in this specification, the association degree determining module 120 may include:
an index information determination unit 1200 that can be used to determine evaluation index information of a small layer;
the relevance degree determining unit 1202 may be configured to determine relevance degrees of the respective small layers according to a gray relevance analysis method based on the evaluation index information.
Based on the description of the foregoing method, in another embodiment of the apparatus described herein, the splitting module 122 may include:
the reservoir information acquisition unit 1220 may be configured to acquire reservoir information for single well control, where the reservoir information includes reservoir reserves and reservoir yields;
a proportion coefficient obtaining unit 1222, configured to obtain the reserve proportion coefficient of each small layer based on the association degree;
the storage splitting result obtaining unit 1224 may be configured to obtain a storage splitting result corresponding to each small layer according to the storage of the reservoir and the storage proportion coefficient of each small layer;
the yield splitting result obtaining unit 1226 may be configured to obtain a yield splitting result corresponding to each small layer according to the reservoir yield and the reserve ratio coefficient of each small layer.
Based on the description of the foregoing method, in another embodiment of the apparatus described herein, the run-off radius obtaining module 124 may include:
the calculating unit 1240 may be configured to calculate the drainage radius of each sub-layer corresponding to the reservoir information according to the following formula:
Figure BDA0002340037240000181
wherein r isLiDenotes the leakage radius, N, of the ith sublayerLiThe reserve or yield split result of the ith small layer is shown, i represents the ith small layer, α represents the ratio of dynamic reserve to static reserve, hiDenotes the thickness of the ith small layer, phiiIndicating the porosity of the ith sublayer,
Figure BDA0002340037240000182
indicating the gas saturation of the ith sublayer.
Based on the description of the embodiment of the foregoing method, in another embodiment of the apparatus described herein, the adjacent well spacing information determining module 126 may include:
a first well spacing information determination unit 1260, which may be configured to determine well spacing information of adjacent wells based on reservoir splitting based on a drainage radius obtained by splitting a reservoir included in the reservoir information;
the second well spacing information determination unit 1262 may be configured to determine well spacing information of adjacent wells based on yield splitting based on a leak radius obtained by splitting the production included in the reservoir information.
Based on the description of the embodiment of the foregoing method, another embodiment of the apparatus described in this specification may include:
determining well spacing information for adjacent wells according to the following formula:
Dmax=max[rJi]+max[rKi]
Dmin=min[rJi+rKi]
wherein D ismaxRepresenting the maximum well spacing, DminRepresenting minimum well spacing, J, K representing adjacent J-wells and K-wells, respectively, rJiDenotes the drainage radius, r, of the ith sub-layer in the J-wellKiDenotes the drainage radius of the ith sublayer in the K well, i denotes the ith sublayer, max [ r [)Ji]Is represented by rJiMaximum value of (1), max [ r ]Ki]Is represented by rKiMaximum value of middle, min [ r ]Ji+rKi]Is represented by [ rJi+rKi]Minimum value of (1).
Based on the description of the embodiment of the foregoing method, in another embodiment of the apparatus described herein, the well spacing determination module 128 may include:
the well spacing determination unit 1280 may be configured to perform intersection processing on the well spacing information based on the reserve split and the well spacing information based on the yield split to determine a well spacing of the gas well.
According to the device for determining the well spacing of the multi-layer commingled production gas well, the small-layer physical property is comprehensively and quantitatively evaluated in real time by selecting a plurality of evaluation indexes, so that the evaluation accuracy of the small-layer physical property can be effectively improved, and a basis can be provided for obtaining a splitting result subsequently. By splitting the reserves and the yields in real time and performing intersection processing on the well spacing information obtained based on the reserves and the well spacing information obtained based on the yields, the real stratum condition can be reflected more, and more reasonable well spacing can be obtained. The accuracy of the reasonable well spacing determination method is verified through well testing explanation, the feasibility of the method is analyzed, a theoretical basis can be provided for determining the reasonable well spacing of the tight gas reservoir, and an important theoretical basis is provided for comprehensive adjustment and development planning of the oil field.
It should be noted that the above-mentioned description of the apparatus according to the method embodiment may also include other embodiments, and specific implementation manners may refer to the description of the related method embodiment, which is not described herein again.
The present specification also provides an embodiment of an apparatus for determining a well spacing of a multi-layer commingled producing well, comprising a processor and a memory for storing processor-executable instructions, which when executed by the processor, implement steps comprising:
determining the relevance of each small layer;
splitting the reservoir information controlled by the single well according to the correlation degree to obtain splitting results corresponding to all the small layers;
obtaining the drainage radius of each small layer corresponding to the reservoir information based on the splitting result;
determining well spacing information of adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information, wherein the well spacing information comprises well spacing information based on reservoir split and well spacing information based on yield split;
and determining the well spacing of the gas well according to the well spacing information.
It should be noted that the above-mentioned apparatus may also include other implementation manners according to the description of the method or device embodiment, such as an implementation manner of determining the well spacing information of adjacent wells, determining the well spacing according to the well spacing information of the stored volume splits and the well spacing information of the production volume splits, and the like. The specific implementation manner may refer to the description of the related method embodiment, and is not described in detail herein.
The present specification also provides an embodiment of a system for determining a well spacing of a multi-layer commingled producing well, comprising at least one processor and a memory storing computer executable instructions, which when executed by the processor, implement the steps of the method described in any one or more of the above embodiments, for example, comprising: determining the relevance of each small layer; splitting the reservoir information controlled by the single well according to the correlation degree to obtain splitting results corresponding to all the small layers; obtaining the drainage radius of each small layer corresponding to the reservoir information based on the splitting result; determining well spacing information of adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information, wherein the well spacing information comprises well spacing information based on reservoir split and well spacing information based on yield split; and determining the well spacing of the gas well according to the well spacing information. The system may be a single server, or may include a server cluster, a system (including a distributed system), software (applications), an actual operating device, a logic gate device, a quantum computer, etc. using one or more of the methods or one or more of the example devices of the present specification, in combination with a terminal device implementing hardware as necessary.
The method embodiments provided in the present specification may be executed in a mobile terminal, a computer terminal, a server or a similar computing device. Taking an example of the server running on the server, fig. 7 is a hardware structure block diagram of an embodiment of a server for determining a well spacing of a multi-layer commingled gas well provided in the present specification, where the server may be a device for determining a well spacing of a multi-layer commingled gas well or a system for determining a well spacing of a multi-layer commingled gas well in the above embodiments. As shown in fig. 7, the server 10 may include one or more (only one shown) processors 100 (the processors 100 may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 200 for storing data, and a transmission module 300 for communication functions. It will be understood by those skilled in the art that the structure shown in fig. 7 is only an illustration and is not intended to limit the structure of the electronic device. For example, the server 10 may also include more or fewer components than shown in FIG. 7, and may also include other processing hardware, such as a database or multi-level cache, a GPU, or have a different configuration than shown in FIG. 7, for example.
The memory 200 may be used to store software programs and modules of application software, such as program instructions/modules corresponding to the method for determining the well spacing of the multi-layer commingled production well in the embodiment of the present specification, and the processor 100 executes various functional applications and data processing by executing the software programs and modules stored in the memory 200. Memory 200 may include high speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 200 may further include memory located remotely from processor 100, which may be connected to a computer terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission module 300 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal. In one example, the transmission module 300 includes a Network adapter (NIC) that can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission module 300 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The method or apparatus provided by the present specification and described in the foregoing embodiments may implement service logic through a computer program and record the service logic on a storage medium, where the storage medium may be read and executed by a computer, so as to implement the effect of the solution described in the embodiments of the present specification.
The storage medium may include a physical device for storing information, and typically, the information is digitized and then stored using an electrical, magnetic, or optical media. The storage medium may include: devices that store information using electrical energy, such as various types of memory, e.g., RAM, ROM, etc.; devices that store information using magnetic energy, such as hard disks, floppy disks, tapes, core memories, bubble memories, and usb disks; devices that store information optically, such as CDs or DVDs. Of course, there are other ways of storing media that can be read, such as quantum memory, graphene memory, and so forth.
The embodiment of the method or the device for determining the well spacing of the multi-layer commingled production well provided by the specification can be implemented in a computer by a processor executing corresponding program instructions, for example, the method is implemented in a PC end by using a c + + language of a windows operating system, a linux system, or other methods such as an android, an iOS system programming language, and implemented in a processing logic based on a quantum computer.
It should be noted that descriptions of the apparatus, the computer storage medium, and the system described above according to the related method embodiments may also include other embodiments, and specific implementations may refer to descriptions of corresponding method embodiments, which are not described in detail herein.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.
The embodiments of this specification are not limited to what must be in compliance with industry communication standards, standard computer data processing and data storage rules, or the description of one or more embodiments of this specification. Certain industry standards, or implementations modified slightly from those described using custom modes or examples, may also achieve the same, equivalent, or similar, or other, contemplated implementations of the above-described examples. The embodiments using the modified or transformed data acquisition, storage, judgment, processing and the like can still fall within the scope of the alternative embodiments of the embodiments in this specification.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardsradware (Hardware Description Language), vhjhd (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Although one or more embodiments of the present description provide method operational steps as described in the embodiments or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive approaches. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or end product executes, it may execute sequentially or in parallel (e.g., parallel processors or multi-threaded environments, or even distributed data processing environments) according to the method shown in the embodiment or the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded. The terms first, second, etc. are used to denote names, but not any particular order.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, when implementing one or more of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, etc. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the 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, graphene 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, one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more 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, one or more 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 the like) having computer-usable program code embodied therein.
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 of the specification, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means 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 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 merely exemplary of one or more embodiments of the present disclosure and is not intended to limit the scope of one or more embodiments of the present disclosure. Various modifications and alterations to one or more embodiments described herein will be apparent 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.

Claims (16)

1. A method for determining the well spacing of a multi-layer commingled production gas well is characterized by comprising the following steps:
determining the relevance of each small layer;
splitting the reservoir information controlled by the single well according to the correlation degree to obtain splitting results corresponding to all the small layers;
obtaining the drainage radius of each small layer corresponding to the reservoir information based on the splitting result;
determining well spacing information of adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information, wherein the well spacing information comprises well spacing information based on reservoir split and well spacing information based on yield split;
and determining the well spacing of the gas well according to the well spacing information.
2. The method of claim 1, wherein the determining the association of each small layer comprises:
determining evaluation index information of a small layer;
and determining the association degree of each small layer according to a grey association analysis method based on the evaluation index information.
3. The method of claim 1, wherein splitting the reservoir information for single well control according to the correlation to obtain split results corresponding to each sub-layer comprises:
obtaining reservoir information controlled by a single well, wherein the reservoir information comprises reservoir reserves and reservoir yields;
based on the correlation degree, obtaining the reserve ratio coefficient of each small layer;
obtaining reserve splitting results corresponding to the small layers according to the reserve of the reservoir and the reserve ratio coefficient of each small layer;
and obtaining the yield splitting result corresponding to each small layer according to the reservoir yield and the reserve ratio coefficient of each small layer.
4. The method of claim 1, wherein obtaining a drainage radius for each sub-layer corresponding to reservoir information based on the splitting results comprises:
calculating the drainage radius of each small layer corresponding to the reservoir information according to the following formula:
Figure FDA0002340037230000011
wherein r isLiDenotes the leakage radius, N, of the ith sublayerLiThe reserve or yield split result of the ith small layer is shown, i represents the ith small layer, α represents the ratio of dynamic reserve to static reserve, hiDenotes the thickness of the ith small layer, phiiIndicating the porosity of the ith sublayer,
Figure FDA0002340037230000012
indicating the gas saturation of the ith sublayer.
5. The method of claim 1, wherein determining well spacing information for adjacent wells based on the drainage radii of the respective sub-layers corresponding to reservoir information comprises:
determining well spacing information of adjacent wells based on reservoir split based on a drainage radius obtained by splitting the reservoir included in the reservoir information;
and determining well spacing information of adjacent wells based on yield splitting based on the drainage radius obtained by splitting the yield included in the reservoir information.
6. The method of claim 5, comprising:
determining well spacing information for adjacent wells according to the following formula:
Dmax=max[rJi]+max[rKi]
Dmin=min[rJi+rKi]
wherein D ismaxRepresenting the maximum well spacing, DminRepresenting minimum well spacing, J, K representing adjacent J-wells and K-wells, respectively, rJiDenotes the drainage radius, r, of the ith sub-layer in the J-wellKiDenotes the drainage radius of the ith sublayer in the K well, i denotes the ith sublayer, max [ r [)Ji]Is represented by rJiMaximum value of (1), max [ r ]Ki]Is represented by rKiMaximum value of middle, min [ r ]Ji+rKi]Is represented by [ rJi+rKi]Minimum value of (1).
7. The method of claim 1, wherein determining a gas well spacing based on the spacing information comprises:
and performing intersection processing on the well spacing information based on the storage amount split and the well spacing information based on the yield split to determine the well spacing of the gas well.
8. A device for determining well spacing of a multi-layer commingled gas well is characterized by comprising:
the association degree determining module is used for determining the association degree of each small layer;
the splitting module is used for splitting the reservoir information controlled by the single well according to the relevance to obtain splitting results corresponding to all the small layers;
a drainage radius obtaining module, configured to obtain drainage radii of the respective sub-layers corresponding to the reservoir information based on the splitting result;
the adjacent well spacing information determining module is used for determining the well spacing information of the adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information, and the well spacing information comprises well spacing information based on the storage split and well spacing information based on the output split;
and the well spacing determination module is used for determining the well spacing of the gas well according to the well spacing information.
9. The apparatus of claim 8, wherein the relevancy determination module comprises:
an index information determination unit configured to determine evaluation index information of a small layer;
and the association degree determining unit is used for determining the association degree of each small layer according to a grey association analysis method based on the evaluation index information.
10. The apparatus of claim 8, wherein the cleaving module comprises:
the reservoir information acquisition unit is used for acquiring reservoir information controlled by a single well, and the reservoir information comprises reservoir reserves and reservoir yields;
an occupation ratio coefficient obtaining unit, configured to obtain a reserve occupation ratio coefficient of each small layer based on the association degree;
the storage amount splitting result obtaining unit is used for obtaining the storage amount splitting result corresponding to each small layer according to the storage amount of the reservoir and the storage amount ratio coefficient of each small layer;
and the yield splitting result obtaining unit is used for obtaining the yield splitting result corresponding to each small layer according to the reservoir yield and the reserve ratio coefficient of each small layer.
11. The apparatus of claim 8, wherein the run-off radius obtaining module comprises:
the calculation unit is used for calculating the drainage radius of each small layer corresponding to the reservoir information according to the following formula:
Figure FDA0002340037230000031
wherein r isLiDenotes the leakage radius, N, of the ith sublayerLiThe reserve or yield split result of the ith small layer is shown, i represents the ith small layer, α represents the ratio of dynamic reserve to static reserve, hiDenotes the thickness of the ith small layer, phiiIndicating the porosity of the ith sublayer,
Figure FDA0002340037230000032
indicating the gas saturation of the ith sublayer.
12. The apparatus of claim 8, wherein the adjacent well spacing information determination module comprises:
the first well spacing information determination unit is used for determining well spacing information of adjacent wells based on reservoir split based on a leakage radius obtained by splitting the reservoir included in the reservoir information;
and the second well spacing information determining unit is used for determining the well spacing information of the adjacent wells based on the yield splitting based on the leakage radius obtained by splitting the yield included in the reservoir information.
13. The apparatus of claim 12, comprising:
determining well spacing information for adjacent wells according to the following formula:
Dmax=max[rJi]+max[rKi]
Dmin=min[rJi+rKi]
wherein D ismaxRepresenting the maximum well spacing, DminIndicating minimum well spacing, J, K indicating adjacencyJ-well and K-well of (1)JiDenotes the drainage radius, r, of the ith sub-layer in the J-wellKiDenotes the drainage radius of the ith sublayer in the K well, i denotes the ith sublayer, max [ r [)Ji]Is represented by rJiMaximum value of (1), max [ r ]Ki]Is represented by rKiMaximum value of middle, min [ r ]Ji+rKi]Is represented by [ rJi+rKi]Minimum value of (1).
14. The apparatus of claim 8, wherein the well spacing determination module comprises:
and the well spacing determining unit is used for performing intersection processing on the well spacing information based on the storage amount split and the well spacing information based on the yield split to determine the well spacing of the gas well.
15. A device for determining well spacing in a multi-layer commingled producing gas well, comprising a processor and a memory for storing processor-executable instructions, which when executed by the processor, implement steps comprising:
determining the relevance of each small layer;
splitting the reservoir information controlled by the single well according to the correlation degree to obtain splitting results corresponding to all the small layers;
obtaining the drainage radius of each small layer corresponding to the reservoir information based on the splitting result;
determining well spacing information of adjacent wells according to the drainage radius of each small layer corresponding to the reservoir information, wherein the well spacing information comprises well spacing information based on reservoir split and well spacing information based on yield split;
and determining the well spacing of the gas well according to the well spacing information.
16. A system for determining the well spacing of a multi-layer commingled producing well, comprising at least one processor and a memory storing computer executable instructions which, when executed by the processor, implement the steps of the method of any of claims 1 to 7.
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