Logging and seismic data fusion-based formation lithology inversion method

A technology of lithology and formation, applied in seismology, geophysical measurement, seismic signal processing, etc., can solve the problem of low vertical resolution of seismic lithology prediction, and achieve the effect of improving vertical resolution

Active Publication Date: 2018-11-13
PETROCHINA CO LTD
View PDF5 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The inversion method provided by the existing technology

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
  • Logging and seismic data fusion-based formation lithology inversion method
  • Logging and seismic data fusion-based formation lithology inversion method
  • Logging and seismic data fusion-based formation lithology inversion method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0160] In this example, based on the geological characteristics and data quality of the actual data of a sag in the Bohai Bay Basin, given the geological model and pseudo-well, the forward modeling simulation of seismic data is carried out, and the conventional constrained sparse pulse inversion and the embodiment of the present invention are respectively carried out by using the forward modeling data. The formation lithology inversion of well-seismic fusion is provided, and the two methods are compared.

[0161] Firstly, a sand-mudstone geological model is established, and its section is shown in figure 1 As shown, the model length is 1000 channels, the channel spacing is 12.5m, the sandstone velocity is 3280m / s, and the density is 2.28g / cm 3 , mudstone velocity is 3600m / s, density is 2.4g / cm 3 , the Guantao Formation is shielded by extremely thick igneous rocks, and the quality of middle-deep seismic data is poor.

[0162] The formation lithology inversion using the well-s...

Embodiment 2

[0179] The MTY bulge is located in the northeast of a certain depression in the Bohai Bay Basin. It is a draped structure developed on the Archaean granite basement. The fluvial reservoirs of the Guantao Formation are the main distribution area of ​​oil and gas, and the reservoirs are thin and change rapidly. The deposition of the third member of Guan is in the stage of filling and filling, and the second member of Guan is in the stage of steady deposition. Petrophysical analysis shows that the wave impedance of sandstone and mudstone has a cross phenomenon, and the thin sand layer of the Guan 2 Member and the thick sand body of the Guan 3 Member cannot be accurately identified by using constrained sparse pulse inversion, and the geostatistical inversion cannot objectively reflect the lateral direction of the sand bodies. Distribution characteristics, the boundary of channel sand bodies cannot be identified.

[0180] Based on the above background, this embodiment uses the same...

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 logging and seismic data fusion-based formation lithology inversion method and belongs to the seismic inversion field. The method includes the following steps that: a loggingwave impedance data body and a logging lithological data body are established according to a logging curve; a seismic wave impedance data body is established according to seismic data and the loggingwave impedance data body; a seismic lithological data body is established according to the seismic wave impedance data body; the logging lithological data body and the seismic lithological data bodyare compared with each other on the basis of a neural network algorithm, so that a lithological fusion parameter body can be obtained; and the lithological fusion parameter body is used to perform formation section-based weighted fusion on the logging lithological data body and seismic lithological data body, so that an inversion lithologic body can be obtained. The inversion lithologic body obtained by the method can improve the longitudinal resolution of seismic lithological prediction and is of great significance for the prediction of formation lithological prediction.

Description

technical field [0001] The invention relates to the field of seismic inversion, in particular to a formation lithology inversion method based on well-seismic fusion. Background technique [0002] In the process of oil and gas exploration and development, seismic inversion technology usually provides a reliable data basis. Seismic inversion calculation can use seismic data to invert subsurface wave impedance or velocity distribution, estimate reservoir parameters, perform reservoir prediction and reservoir description. It can be seen that it is very necessary to provide a seismic inversion method. [0003] The prior art provides a seismic inversion method for comprehensive logging-seismic data, which includes the following steps: Obtaining a synthetic seismic record through the logging data, combining the synthetic seismic record with the seismic data for seismic calibration, The seismic wavelet is extracted from it, and then constrained sparse pulse inversion is performed ...

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): G01V1/28G01V1/30
CPCG01V1/282G01V1/306G01V2210/614G01V2210/6226G01V2210/642G01V2210/643G01V2210/6652
Inventor 高斌穆立华周凤鸣赵宝银邢文军付兴深杨国涛张明徐文会
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