NDLI: Reservoir prediction using pre-stack inverted elastic parameters

Content Provider	Springer Nature Link
Author	Chen, Shuangquan Wang, Shangxu Zhang, Yonggang Ji, Min
Copyright Year	2009
Abstract	This is a case study of the application of pre-stack inverted elastic parameters to tight-sand reservoir prediction. With the development of oil and gas exploration, pre-stack data and inversion results are increasingly used for production objectives. The pre-stack seismic property studies include not only amplitude verse offset (AVO) but also the characteristics of other elastic property changes. In this paper, we analyze the elastic property parameters characteristics of gas- and wet-sands using data from four gas-sand core types. We found that some special elastic property parameters or combinations can be used to identify gas sands from water saturated sand. Thus, we can do reservoir interpretation and description using different elastic property data from the pre-stack seismic inversion processing. The pre-stack inversion method is based on the simplified Aki-Richard linear equation. The initial model can be generated from well log data and seismic and geologic interpreted horizons in the study area. The input seismic data is angle gathers generated from the common reflection gathers used in pre-stack time or depth migration. The inversion results are elastic property parameters or their combinations. We use a field data example to examine which elastic property parameters or combinations of parameters can most easily discriminate gas sands from background geology and which are most sensitive to pore-fluid content. Comparing the inversion results to well data, we found that it is useful to predict gas reservoirs using λ, λρ, λ/µ, and K/µ properties, which indicate the gas characteristics in the study reservoir.
Starting Page	349
Ending Page	358
Page Count	10
File Format	PDF
ISSN	16727975
Journal	Applied Geophysics
Volume Number	6
Issue Number	4
e-ISSN	19930658
Language	English
Publisher	Chinese Geophysical Society
Publisher Date	2009-12-29
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	elastic parameters pre-stack inversion reservoir prediction AVO analysis angle gather Applied Earth Sciences Geophysics/Geodesy
Content Type	Text
Resource Type	Article
Subject	Geophysics

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

AVO inversion based on common shot migration

Cauchy prior distribution-based AVO elastic parameter estimation via weakly nonlinear waveform inversion

Gas sand distribution prediction by prestack elastic inversion based on rock physics modeling and analysis

Seafloor elastic parameters estimation based on AVO inversion

Joint AVO inversion in the time and frequency domain with Bayesian interference

A Quadratic precision generalized nonlinear global optimization migration velocity inversion method

Application of joint elastic impedance inversion in the GD Oilfield

Pre-stack-texture-based reservoir characteristics and seismic facies analysis

Reservoir parameter inversion based on weighted statistics

Reservoir prediction using pre-stack inverted elastic parameters

Similar Documents

AVO inversion based on common shot migration

Cauchy prior distribution-based AVO elastic parameter estimation via weakly nonlinear waveform inversion

Gas sand distribution prediction by prestack elastic inversion based on rock physics modeling and analysis

Seafloor elastic parameters estimation based on AVO inversion

Joint AVO inversion in the time and frequency domain with Bayesian interference

A Quadratic precision generalized nonlinear global optimization migration velocity inversion method

Application of joint elastic impedance inversion in the GD Oilfield

Pre-stack-texture-based reservoir characteristics and seismic facies analysis

Reservoir parameter inversion based on weighted statistics

Reservoir prediction using pre-stack inverted elastic parameters