Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Process response-based quantitative prediction method of dissolution pore-increasing quantity of clastic reservoir

A prediction method and clastic rock technology, applied in the direction of prediction, data processing application, instrument, etc., can solve the objective and comprehensive reflection of dissolution, cannot comprehensively consider the change law of dissolution, and quantitatively predict the dissolution amount of clastic rock reservoirs difficulty, etc.

Active Publication Date: 2018-08-03
YANGTZE UNIVERSITY
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] When the predecessors studied the dissolution of clastic rock reservoirs, they mostly focused on the dissolution of individual minerals (quartz, feldspar, calcite) under laboratory conditions. Due to the limitation of experimental conditions, the choice of simulation parameters was mostly temperature, Therefore, the rationality of its geological model is debatable
Through the observation of rock thin sections, various dissolution phenomena can be observed simply, effectively and objectively. Due to the limitation of the number of samples, the conclusions are often generalized and cannot provide an objective and comprehensive reflection on the dissolution of the entire study area.
During the process of diagenesis, there are more or less types of dissolution, different times of dissolution, and different intensity of dissolution, which makes it very difficult to quantitatively predict the amount of dissolution in clastic rock reservoirs.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Process response-based quantitative prediction method of dissolution pore-increasing quantity of clastic reservoir
  • Process response-based quantitative prediction method of dissolution pore-increasing quantity of clastic reservoir
  • Process response-based quantitative prediction method of dissolution pore-increasing quantity of clastic reservoir

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0131] A process response-based quantitative prediction method for clastic rock reservoir dissolution and porosity increase, comprising the following steps:

[0132] 1) Collect geological data in the study area, which includes:

[0133] ①Dissolution table of the second member of Dongying Formation in the study area;

[0134] ② Structural contour map of the Plain Formation in the study area;

[0135] ③ Structural contour map of Minghuazhen Formation in the study area;

[0136] ④ Structural contour map of Guantao Formation in the study area;

[0137] ⑤ Structural contour map of the second member of Dongying Formation in the study area;

[0138] ⑥ Sedimentary facies map of the second member of Dongying Formation in the study area;

[0139] ⑦Lithological distribution map of the second member of Dongying Formation in the study area;

[0140] ⑧Fluid distribution map of the second member of Dongying Formation during the deposition of Guantao Formation in the study area;

[0141...

Embodiment 2

[0233] Quantitative prediction method for dissolution and porosity increase of clastic rock reservoirs based on diagenetic process To predict the reservoirs of the second member of Dongying Formation in Bozhong Sag, the specific steps are as follows:

[0234] 1) Collect geological data in the study area

[0235] 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 include the following contents: the dissolution table of the second member of the Dongying Formation in the study area (Table 1), the structural contour map of the Pingyuan Formation in the study area ( figure 1 ), the structural contour map of the 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 Dongying Formatio...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses and provides a process response-based quantitative prediction method of dissolution pore-increasing quantity of a clastic reservoir. According to the method, quantitative equations of pore response are constructed through finding out key geological factors of different geological processes, differences thereof and influences which are of all geological factors, in the different geological processes and on reservoir porosity, a pore evolution process under reservoir dissolution action is simulated on the basis of the quantitative response equations, influences which areof the dissolution action, in a sediment burial diagenesis process and on reservoir physical-property change laws are reproduced, and a basis is provided for oil reservoir evaluation.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration and development, in particular to a process response-based quantitative prediction method for dissolution and porosity increase of clastic rock reservoirs. Background technique [0002] The research on the dissolution of clastic rock framework grains during burial diagenesis and its relationship with the formation mechanism of secondary pores in clastic rock reservoirs has always been one of the hot issues in the sedimentology community. In the process of reservoir evolution, due to the change of pore water composition, a large amount of dissolved substances in the rock skeleton and between particles are dissolved, forming secondary dissolved pores, and increasing the porosity of the reservoir. The importance of such secondary dissolved pores to improve reservoir physical properties has received more and more attention in recent years. There are many factors affecting dissolution,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02
CPCG06Q10/04G06Q50/02
Inventor 钱文蹈尹太举张昌民侯国伟何苗夏敏杨兰马嘉令唐慧佳陈梁
Owner YANGTZE UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com