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

Quantitative forecasting method for clastic rock reservoir corrosion hole increasing amount

A prediction method and technology for clastic rocks, which are applied in special data processing applications, instruments, electrical digital data processing, etc. Problems such as the difficulty of reservoir dissolution

Active Publication Date: 2018-08-10
YANGTZE UNIVERSITY
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, when studying the dissolution of clastic rock reservoirs, most of them focus on the dissolution of individual minerals (quartz, feldspar, calcite) under laboratory conditions. Due to the limitation of experimental conditions, the choice of simulation parameters is 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
  • Quantitative forecasting method for clastic rock reservoir corrosion hole increasing amount
  • Quantitative forecasting method for clastic rock reservoir corrosion hole increasing amount
  • Quantitative forecasting method for clastic rock reservoir corrosion hole increasing amount

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0111] A quantitative prediction method for dissolution and porosity increase of clastic rock reservoirs, comprising the following steps:

[0112] 1) Collect geological data in the study area, including:

[0113] ①Study result map of sedimentary facies of the target layer in the study area;

[0114] ② Contour map of target layer interface structure;

[0115] ③ Contour map of the interface structure of the overlying strata on the target layer;

[0116] ④Reservoir physical property data in the study area;

[0117] ⑤ Dissolution data of reservoir single well in the study area;

[0118] ⑥Diagenetic evolution sequence in the study area;

[0119] ⑦The burial history and thermal evolution history of the study area.

[0120] 2) Establish the original data database

[0121] (1) Sedimentary facies type database F_m

[0122] Summarize and classify the sedimentary facies types of clastic rock reservoirs to establish a sedimentary facies database F_m, which includes: alluvial fan-dr...

Embodiment 2

[0196] Based on the quantitative prediction method of clastic rock reservoir dissolution pore increase, the specific steps are as follows to predict the pore dissolution of the second member of Dongying Formation in Bozhong Sag:

[0197] 1) Collect geological data in the study area

[0198] 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: Sedimentary Facies Map of the Second Member of Dongying Formation, Lithology Map of the Second Member of Dongying Formation, Fracture Distribution Map of the Second Member of Dongying Formation, pH Map of the Second Member of Dongying Formation, The diagenetic stage diagram of reservoirs in the first member, and the sedimentary cycle diagram of reservoirs in the second member of Dongying Formation (as shown in the figure).

[0199] 2) Determine re...

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 a quantitative forecasting method for a clastic rock reservoir corrosion hole increasing amount. The method establishes a "geological parameter-dissolution function-porosity" prediction model under different dissolution functions is established on the basis of the research of clastic rock reservoir sedimentary facies, rock facies, fluid properties, sedimentary cycle, a diagenetic stage and a fault development situation, and therefore, the clastic rock reservoir, especially, the sizes of low-hole and low-permeability tight reservoir corrosion holes can be predicted and evaluated.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration and development, in particular to a method for quantitatively predicting the amount of dissolved pores in 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, such as the size of rock...

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
IPC IPC(8): G06F17/50G06F17/30
CPCG06F16/21G06F30/20
Inventor 钱文蹈尹太举杨威武赛军马嘉令唐慧佳杨兰夏敏张大翔史谦
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