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Clastic rock reservoir porosity prediction method based on diagenetic process

A prediction method and clastic rock technology, applied in the field of oil and gas exploration and development, can solve the problems of unable to reproduce the complex process of reservoir evolution, unable to meet the needs of scientific research in fine description of oil and gas reservoirs, and failing to comprehensively consider cementation strength.

Active Publication Date: 2018-08-24
YANGTZE UNIVERSITY +1
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  • Abstract
  • Description
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Problems solved by technology

[0008] 1) When numerically simulating the pores, the geological parameters are single, and the sedimentary facies, particle size, cuttings particles, rigid particles, roundness, sorting, shale content, cementation strength, cementation type, The influence of various geological parameters such as cementation time, dissolution time, burial temperature, abnormal high pressure, and deposition rate on pores;
[0009] 2) The simulation process is too linear to reproduce the complex process of reservoir evolution;
[0010] 3) The simulation method is too comprehensive to meet the needs of scientific research and fine description of oil and gas reservoirs
If a reasonable geological model cannot be established, comprehensively considering the impact relationship among compaction, cementation, and dissolution under various geological parameters and their primary and secondary points, numerical simulation together will only be a numerical game, and it will not be able to truly solve the problem. Practical problems

Method used

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  • Clastic rock reservoir porosity prediction method based on diagenetic process
  • Clastic rock reservoir porosity prediction method based on diagenetic process
  • Clastic rock reservoir porosity prediction method based on diagenetic process

Examples

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Effect test

Embodiment 1

[0185] A method for predicting the porosity of clastic rock reservoirs based on the diagenetic process includes the following steps:

[0186] 1) Collect geological data of the study area, which includes:

[0187] ①Compact table, cementation table and dissolution table of the second member of Dongying Formation in the study area;

[0188] ②Structural contour map of the Plain Formation in the study area;

[0189] ③Structural contour map of Minghuazhen Formation in the study area;

[0190] ④Contour map of Guantao Formation in the study area;

[0191] ⑤Structural contour map of the second member of the Dongying Formation in the study area;

[0192] ⑥ Sedimentary facies map of the second member of the Dongying Formation in the study area;

[0193] ⑦ Lithological distribution map of the second member of Dongying Formation in the study area;

[0194] ⑧Fluid distribution map of the second member of the Dongying Formation during the deposition of the Guantao Formation in the study...

Embodiment 2

[0329] The porosity prediction method of clastic rock reservoirs based on diagenetic process predicts the reservoirs of the second member of the Dongying Formation in the Bozhong sag. The specific steps are as follows:

[0330] 1) Collect geological data of the study area

[0331] The geological data of the second member of the Dongying Formation in the Bozhong sag were collected, and various types of data were classified according to the original data database. The collected geological data includes the following contents: the dissolution table of the second member of the Dongying Formation in the study area (Table 1, Table 2, Table 3), and the structural contour map of the Pingyuan Formation in the study area (Table 1, Table 2, Table 3). figure 1 ), structural contour map of Minghuazhen Formation in the study area ( figure 2 ), the structural contour map of the Guantao Formation in the study area ( image 3 ), the structural contour map of the second member of the Dongyin...

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Abstract

The invention discloses a clastic rock reservoir porosity prediction method based on a diagenetic process. Based on comprehensive research of clastic rock reservoir sedimentary facies, lithology, fluid property, and a diagenetic stage, the method predicts temporal-spatial matching relations of reservoir physical properties and diagenetic actions in a reservoir evolution process, and establishes ageological parameter-diagenesis-porosity prediction model under different geological environment conditions and different diagenesis, so as to predict porosity sizes of the clastic rock reservoir, determine pore spatial distribution of the clastic rock reservoir, and achieves an objective of advantaged reservoir quantitative evaluation.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration and development, in particular to a method for predicting the porosity of clastic rock reservoirs based on diagenetic processes. Background technique [0002] Reservoir porosity is an important physical parameter that determines the scale and production value of oil and gas reservoirs. Obtaining reservoir porosity mainly relies on the following geological data: [0003] 1) Core data, a single core is measured by some analytical testing methods in the laboratory, so as to obtain the porosity parameters of the rock; [0004] 2) Logging data, using the electrical characteristics of the rock to indirectly obtain the porosity of the rock; [0005] 3) Seismic data, using sandstone wave impedance to calculate sandstone porosity. [0006] The porosity data obtained from core data and logging data are often limited, and the porosity data between well points need to be interpolated mathem...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F17/50G06F17/30G06Q50/02
CPCG06F16/21G06Q10/04G06Q50/02G06F2111/10G06F30/20Y02A10/40
Inventor 尹太举钱文蹈张昌民侯国伟何苗夏敏
Owner YANGTZE UNIVERSITY
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