Method of predicting spatial distribution of channel sand by seismic attributes

A seismic attribute and spatial distribution technology, applied in the field of oil and gas geophysical prospecting engineering, can solve the physical meaning and reliability doubts, cannot accurately identify and evaluate the distribution of high porosity and permeability areas in channel sand reservoirs, and predict the spatial location and location of high-quality reservoir sand bodies. Problems such as the distribution of physical parameters, to achieve the effect of broadening the application range and reducing the error range

Inactive Publication Date: 2018-06-05
PETROCHINA CO LTD
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Although existing methods for the spatial distribution of channel sands are widely used in actual production, their physical significance and reliability are often questioned by geologists and geophysicists due to the subjectivity of qualitative description and analysis. Accurately identify and evaluate the distribution of high porosity and permeability areas in channel sand reservoirs and predict the spatial location and physical parameter distribution of high-quality reservoir sand bodies

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
  • Method of predicting spatial distribution of channel sand by seismic attributes
  • Method of predicting spatial distribution of channel sand by seismic attributes
  • Method of predicting spatial distribution of channel sand by seismic attributes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to make the technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0031] This embodiment provides a method for predicting the spatial distribution of channel sand by seismic attributes. Taking the post-stack data of a certain area in the Jizhong Sag of Huabei Oilfield as an example, the present invention will be further described in detail. See figure 1 , the method flow is as follows:

[0032] Step 101: Obtain well logging data and seismic data of the target reservoir area, perform well-seismic calibration and determine the target layer;

[0033] Specifically, well logging data include well logging curves, which are reconstructed after standardization and selection of sensitive parameters. They are used to identify calibration horizons, and determine the sensitivity of sandstone and mudstone in the research target 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 method of predicting spatial distribution of channel sand by seismic attributes, which belongs to the field of oil and gas geophysical prospecting engineering. The method comprises steps: logging data and seismic data in a target reservoir area are acquired, well seismic demarcation is carried out and a target layer is determined; according to the seismic data of the target layer, a cubic spline encrypted sampling method is used to obtain a high-density seismic data volume; and according to the high-density seismic data volume and the logging data, a seismic sensitiveattribute volume and seismic attribute slices are obtained, the zero point position of the seismic attributes is determined, and the quantitative relationship between the seismic attributes and the channel sand body position and the thickness is further determined. The prediction on the spatial distribution of the channel sand by the seismic attributes changes to more accurate quantitative analysis from qualitative description, the error range of a seismic attribute sand thickness prediction result demarcated by the actual logging data is reduced, and the scope of using the seismic attributesto predict the distribution of thin-layer channel sand and carry out quantitative evaluation is widened.

Description

technical field [0001] The invention belongs to the field of oil and gas geophysical prospecting engineering, in particular to a method for predicting the spatial distribution of channel sand by seismic attributes. Background technique [0002] In recent years, with the deepening of the application of seismic data, seismic sedimentology, which takes seismic attribute slice interpretation as its technical connotation, has attracted widespread attention from seismic data interpreters. Its comprehensive geological understanding and logging information can maximize the mining of seismic data. Potential geological information, and then predict and analyze the depositional process and depositional insider. In the exploration and development of fluvial sedimentary lithologic reservoirs, the spatial distribution description and quantitative evaluation of channel sand bodies are very important, especially in the current process of oil and gas exploration from traditional structural r...

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): G01V1/30
CPCG01V1/306G01V2210/6161G01V2210/6169G01V2210/624G01V2210/6244
Inventor 金凤鸣沈金松秦风启张晓晨叶秋焱何培良王亚冯小英祖志勇焦素丽
Owner PETROCHINA CO LTD
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