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Quantitative Prediction Method of Compaction Porosity Reduction

A prediction method and database technology, applied in the direction of prediction, data processing applications, instruments, etc., can solve the problem of not being able to comprehensively consider the physical property change law of sand body reservoirs, the reduction of primary pores, and the inability to further reveal the physical property change law of clastic rock reservoirs And other issues

Active Publication Date: 2021-10-15
YANGTZE UNIVERSITY
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Problems solved by technology

[0003] Starting from the factors that affect mechanical compaction, physical simulation experiments are used to discuss the change law of physical properties of sand reservoirs during mechanical compaction. Due to the limitation of experimental conditions, the simulation parameters are mostly temperature, pressure, rock composition and The size of the grain size, but can not comprehensively consider the change of physical properties of sand body reservoirs in the process of mechanical compaction under the action of various factors
Since the compaction simulation tests of single or mixed minerals with different rock compositions, different particle sizes and different sorting degrees cannot be systematically carried out, it is impossible to further reveal the change law of the physical properties of clastic rock reservoirs during the compaction process, that is, Unable to accurately and quantitatively predict the reduction of primary pores under compaction

Method used

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  • Quantitative Prediction Method of Compaction Porosity Reduction
  • Quantitative Prediction Method of Compaction Porosity Reduction
  • Quantitative Prediction Method of Compaction Porosity Reduction

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Embodiment 1

[0193] A quantitative prediction method for compaction porosity reduction, including the following steps:

[0194] 1) Collect geological data in the study area, which includes:

[0195] ①Study result map of sedimentary facies of the target layer in the study area;

[0196] ② Contour map of target layer interface structure;

[0197] ③ Contour map of the interface structure of the overlying strata on the target layer;

[0198] ④Reservoir physical property data in the study area;

[0199] ⑤Research results map of reservoir diagenetic facies in the study area;

[0200] ⑥Diagenetic evolution sequence in the study area;

[0201] ⑦The burial history and thermal evolution history of the study area;

[0202] 2) Establish the original data database

[0203] (1) Establishment of sedimentary facies type database

[0204] To study the original fabric of clastic rock reservoirs and the development of primary pores under the control of different sedimentary facies types, that is, the ...

Embodiment 2

[0360] Prediction of BZ19-2-1 in Bozhong Sag based on the above quantitative prediction method of porosity reduction by compaction: Analysis of D2 of the second member of East Member of Well BZ19-2-1 is shore-shallow lacustrine facies, and the lithology is medium-grained quartzite feldspar sandstone , the rock sorting is good, the grain size is sub-round, the average content of rigid particles is 68%, the mineral components are mainly feldspar and quartz, and the average content of feldspar in clastic rock is 53%. D2 of the second member of the East has experienced three evolutionary stages in the entire geological history, namely: IA, IB, and IIA. In the ⅠA evolution stage, the cementation type is muddy cement and calcareous cementation, and the cementation strength is medium; in the ⅠB evolution stage, the cementation type is muddy cementation and calcareous cementation, and the cementation strength is medium; in the ⅡA evolutionary stage, the cementation type is argillaceous...

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Abstract

The invention discloses a quantitative prediction method of compaction porosity reduction. The method comprehensively considers sedimentary facies, particle size, cuttings particles, rigid particles, roundness, sorting property, shale content, cementation strength, and cementation type. , cementation time, dissolution time, burial depth, abnormal high pressure, and sedimentation rate on mechanical compaction, numerical simulations of mechanical compaction were carried out in the time-space domain, and a model that can reflect the pore evolution and mechanical Quantitative model between compactions. The model is scientific, reasonable and accurate, and provides a new simulation method for the quantitative prediction of compaction porosity reduction.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration and development, in particular to a quantitative prediction method for compaction porosity reduction. Background technique [0002] During the process of sediment burial and diagenesis, the rock volume and pore space gradually shrink, and the rock becomes more and more dense. Among them, mechanical compaction is the main controlling factor of sandstone reservoir performance. It accounts for more than the vast majority of the total pore loss of the reservoir, thus greatly affecting the reservoir properties of the sand body. The geological factors affecting the mechanical compaction of clastic rock reservoirs are not only related to the material composition and grain structure of the sand body, but also the diagenetic environment is an important factor affecting the mechanical compaction during the burial process. As the diagenetic process progressed, various diagenetic geological f...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/02G06Q50/06
CPCG06Q10/04G06Q50/02G06Q50/06
Inventor 钱文蹈尹太举张昌民何苗侯国伟高顺莉夏敏
Owner YANGTZE UNIVERSITY
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