Well-based Lateral Prediction Method of Diagenetic Facies in Clastic Reservoirs

A prediction method and technology of clastic rocks, applied in the field of oil and gas exploration and development, can solve the problems that cannot reflect the development of reservoirs well and affect the exploration and development of oil and gas in thin clastic rock reservoirs

Inactive Publication Date: 2019-12-13
SHANGHAI BRANCH CHINA OILFIELD SERVICES +1
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Seismic data has good plane continuity, so it can reflect the characteristics of reservoir diagenetic facies plane more continuously. However, limited by the resolution of seismic data, in thin clastic rock reservoirs and deep clastic rock reservoirs In terms of identification, seismic data has great limitations, so traditional reservoir diagenetic facies prediction can no longer reflect the development of reservoirs, which affects the oil and gas exploration and development of thin clastic rock reservoirs, especially deep-ultra-deep 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
  • Well-based Lateral Prediction Method of Diagenetic Facies in Clastic Reservoirs
  • Well-based Lateral Prediction Method of Diagenetic Facies in Clastic Reservoirs
  • Well-based Lateral Prediction Method of Diagenetic Facies in Clastic Reservoirs

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0078] A well-based lateral prediction method of diagenetic facies in clastic rock reservoirs, including the following steps:

[0079] 1. Collect geological data in the study area, including the following:

[0080] ①Study result map of sedimentary facies of the target layer in the study area;

[0081] ② Lithology research results map of the study area;

[0082] ③Research result map of fault distribution in the study area;

[0083] ④ Fluid history (pH) data in the study area;

[0084] ⑤ Diagram of the research results of the diagenetic stage of the target layer in the study area;

[0085] ⑥ Map of the research results of the sedimentary cycle of the target layer in the study area;

[0086] ⑦ Analysis and test data of rock thin sections in the research area;

[0087] 2. Establish the original data database

[0088] (1) Sedimentary facies type database F_m

[0089]The sedimentary facies types of clastic rock reservoirs were summarized and classified, including: alluvial fa...

Embodiment 2

[0139] The well-based lateral prediction method of diagenetic facies in clastic rock reservoirs predicts the reservoirs of the second member of Dongying Formation in Bozhong Sag. The specific steps are as follows:

[0140] 1. Collect geological data in the study area

[0141] 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 (such as Figure 1~6 mentioned).

[0142] 2 Determination of res...

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 clastic rock reservoir diagenesis phase transverse prediction method based on a well. In the method, the six geological parameters of sedimentary facies, lithology, a pH value, a sedimentary cycle, a diagenetic stages and a fault index are taken as a clastic rock reservoir diagenesis phase type boundary constraint condition. Well diagenesis phase data is combined, diagenesis-phase transverse distribution is predicted, and insufficiencies in the work of a diagenesis-phase transverse prediction research aspect in the prior art are overcome. The method can be used to determine the validity of a reservoir and provide a basis for reservoir evaluation.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration and development, in particular to a well-based lateral prediction method for diagenetic facies of clastic rock reservoirs. Background technique [0002] Diagenetic facies refers to the geological body formed by various diagenesis under the control of diagenetic environment and has a certain geometric shape, specific diagenetic fabric and specific diagenetic mineral combination. Similar to the concept of facies in sedimentary facies and logging facies, the meaning reflected by diagenetic facies is the collection of the final state of a reservoir under the joint action of multiple factors such as structure, fluid, temperature, and pressure, and it is the petrological feature in the diagenetic environment. The sum of geochemical characteristics and petrophysical characteristics, the core content of which is the current mineral composition and fabric appearance, which is mainly a genet...

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 Patents(China)
IPC IPC(8): G01V9/00
CPCG01V9/00
Inventor 侯国伟高顺莉何苗李帅尹太举钱文蹈
Owner SHANGHAI BRANCH CHINA OILFIELD SERVICES
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products