DocumentCode
3292788
Title
Application of AVO Fluid Inversion Technology in Yong´an Area of Subei Basin
Author
Qu Liangchao ; Bian Changrong
Author_Institution
Sch. of Energy Resources, China Univ. of Geosci., Beijing, China
fYear
2012
fDate
July 31 2012-Aug. 2 2012
Firstpage
240
Lastpage
243
Abstract
AVO fluid inversion technology is used to calculate hydrocarbon probability quantitatively to reduce the uncertainty of AVO analysis. By means of Monte-carlo stochastic simulation algorithm, well logging data can be used to synthesize forward models with various possible types of fluid combination to get distribution template of oil, gas and water. According to current well production data, this distribution template is corrected and tested. Then it is calibrated with the gradient and intercept of the whole 3D seismic data calculated by Shuey´s function. After the calibration, the probability of the hydrocarbon fluid is estimated by means of Bayesian theory. Types of fluid and buried depth of the reservoir are the main factors affecting the result of AVO fluid inversion. This paper focuses on AVO fluid inversion to estimate hydrocarbon probability in the target layer in Yong´an area of Subei basin. It shows that this technology can reduce the uncertainty of fluid prediction and increase the drilling success rate.
Keywords
Bayes methods; drilling (geotechnical); flow simulation; hydrocarbon reservoirs; probability; stochastic processes; well logging; 3D seismic data; AVO analysis; AVO fluid inversion technology; Bayesian theory; China; Monte-carlo stochastic simulation algorithm; Shuey function; Subei Basin; Yong´an area; drilling rate; fluid prediction uncertainty analysis; gas distribution; hydrocarbon fluid probability estimation; oil distribution; water distribution; well logging data; Bayesian methods; Biological system modeling; Fluids; Hydrocarbons; Production; Reservoirs; Uncertainty; AVO; Bayesian theory; Monte-Carlo; Shueys function; calibrate; fluid inversion; hydrocarbon probability;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
Conference_Location
GuiLin
Print_ISBN
978-1-4673-2217-1
Type
conf
DOI
10.1109/ICDMA.2012.58
Filename
6298298
Link To Document