A Bioturbation Reservoir Identification Method Based on Multi-source Logging Data

A multi-source logging and bioturbation technology, applied in the field of reservoir identification, can solve the problems of no good method for oil and gas reservoirs and low quality of reservoir identification

Active Publication Date: 2021-08-20
HENAN POLYTECHNIC UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is no good method for oil and gas reservoirs formed by bioturbation, and the quality of reservoir identification is not high

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
  • A Bioturbation Reservoir Identification Method Based on Multi-source Logging Data
  • A Bioturbation Reservoir Identification Method Based on Multi-source Logging Data
  • A Bioturbation Reservoir Identification Method Based on Multi-source Logging Data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0038] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0039] refer to figure 1 As shown, this example provides a bioturbation reservoir identification method based on multi-source logging data, taking the bioturbation reservoirs of the Ordovician Yingshan Formation a...

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 bioturbation reservoir identification method based on multi-source logging data, which comprises the following steps: obtaining the bioturbation reservoir, and obtaining the logging curve of the bioturbation reservoir based on the multi-source logging method and FMI resistivity imaging logging images; standardize detection and standardization processing of logging curves; obtain logging curve response characteristics based on well logging curves and data; obtain FMI resistivity imaging logging response characteristics based on FMI resistivity imaging logging images ; Build a bioturbation reservoir identification model based on BP neural network, and train the bioturbation reservoir identification model through the response characteristics of well logging curves and FMI resistivity imaging logging. The identification model identifies the bioturbation index of the bioturbation reservoir. The invention can accurately and reliably identify the reservoir formed by the biological disturbance.

Description

technical field [0001] The invention relates to the technical field of reservoir identification, in particular to a bioturbation reservoir identification method based on multi-source logging data. Background technique [0002] Reservoirs are rock formations with interconnected pores that allow oil and gas to be stored and percolated through them. The storage capacity of the reservoir is determined by the petrophysical properties of the reservoir, usually including its porosity and permeability; the porosity determines the storage capacity of the reservoir, and the permeability determines the seepage capacity of the reservoir . The petrophysical properties of reservoirs can be reflected in geophysical logging parameters, and conventional logging techniques combined with new logging techniques can be used to identify reservoirs. The division of reservoir types is mainly based on the natural potential curve combined with the natural gamma ray curve, and the characteristics of...

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): G06F30/27G06N3/04G06N3/08G06T11/20E21B49/00
CPCG06F30/27G06N3/084G06T11/203E21B49/00G06N3/045
Inventor 牛永斌向威单婷婷胡舒茵王培俊赵佳如
Owner HENAN POLYTECHNIC UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap