Sandy beach and bar sedimentary microfacies logging identification method based on Bayes discriminant analysis

A technology of sedimentary microfacies and discriminant analysis, applied in the field of oil and gas exploration and development, can solve the problems of complex technology, high drilling and coring cost, slow drilling speed, etc., and achieve the effect of high application value, low cost and high continuity

Active Publication Date: 2014-09-03
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF3 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the high cost of drilling and coring, slow drilling speed and complex technology, large-scale drilling and coring cannot be carried out in

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
  • Sandy beach and bar sedimentary microfacies logging identification method based on Bayes discriminant analysis
  • Sandy beach and bar sedimentary microfacies logging identification method based on Bayes discriminant analysis
  • Sandy beach and bar sedimentary microfacies logging identification method based on Bayes discriminant analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] Taking the microfacies logging identification method of sandy beach bar sediments in a certain area of ​​Shengli Oilfield as an example to illustrate the specific technical solution of the invention:

[0050] First, use the known drilling core data of 15 wells and oilfield exploration and development data to complete the identification of beach and bar sand sedimentary microfacies (bar sand-beach sand), and establish a database of well interval depth-sand body thickness-sedimentary microfacies (partial The well data are shown in Table 1).

[0051] Second, select the well logging series (SP-AC-GR-R25-COND) with complete data in the work area, standardize the logging data of the target interval of each well, and use the method of range normalization to make the new data Distributed in the [0,1] interval. This logging series uses natural potential logging, acoustic time difference logging, natural gamma ray logging, 2.5m gradient resistivity logging, and induction logging...

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 relates to the field of petroleum and gas exploration and development, in particular to a sandy beach and bar sedimentary microfacies logging identification method based on Bayes discriminant analysis. On the basis that bar sand and beach sand are identified through drilling core data and exploration and development data, parameters capable of reflecting sand body characteristics are extracted according to logging response characteristics of beach and bar sand bodies, beach and bar sedimentary microfacies response comprehensive parameters are established, parameters which do not have a remarkable effect on discrimination are removed through a stepwise discriminant analysis method, and finally a Bayes discrimination function capable of discriminating beach and bar sedimentary microfacies is established. The method achieves the purpose of beach and bar sedimentary microfacies prediction and identification of wells without drilling coring data. Physical geography logging data have the advantages of being relatively low in price and high in continuity, and have good response to sandy beach and bar sedimentary microfacies with different characteristics. Consequently, on the basis of calibration of the drilling core data and the exploration and development data, the logging response parameters capable of representing beach and bar sand body sedimentary microfacies characteristics are extracted, discriminant analysis is conducted on sandy beach and bar sedimentary microfacies through a statistical method, cost is low, and application value is high.

Description

technical field [0001] The invention relates to the field of petroleum and natural gas exploration and development, in particular to a method for identifying sandy beach bar sedimentary microfacies logging wells based on Bayes discriminant analysis. Background technique [0002] Beach bar deposits are very important sedimentary bodies developed in shallow lake areas of continental lake basins, and can be further divided into sandy beach bars and carbonate beach bars. Sandy beach bar deposits are generally formed in open coastal shallow lake areas, and are formed by transporting and depositing adjacent deltas or other nearshore shallow water sand bodies under the action of lake waves or coastal currents. According to the shape and occurrence of beach bar sand bodies, beach bar deposits in shallow lakes can be divided into bar sand bodies and beach sand bodies. [0003] At present, the main method for identifying beach-bar sedimentary microfacies is through drilling and loggi...

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): G01V9/00
Inventor 王健操应长薛秀杰贾艳聪孙善勇
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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