Published December 2011 | Version v1
Journal article

Seismic attributes and integrated prediction of fractured and caved carbonate reservoirs in the Tarim Basin, China

  • 1. China University of Petroleum, Laboratory for Integration of Geology & Geophysics (China)
  • 2. PetroChina Tarim Oilfield Company, Research Institute of Exploration & Development (China)

Description

The carbonate reservoirs in the Tarim Basin are characterized by anisotropy and strong heterogeneity. Combined with an integrated analysis of data from seismic, geology, and drilling results, a series of attributes which are suitable for fractured and caved carbonate reservoir prediction is discussed, including amplitude, coherence analysis, spectra decomposition, seismic absorption attenuation analysis and impedance inversion. Moreover, 3-D optimization of these attributes is achieved by integration of multivariate discriminant analysis and principle component analysis, where the logging data are taken as training samples. Using the optimized results, the spatial distribution and configuration features of the caved reservoirs can be chara cterized in detail. This technique not only improves the understanding of the spatial distribution of current reservoirs but also provides a significant basis for the discovery and production of carbonate reservoirs in the Tarim Basin.

Additional details

Identifiers

Publishing Information

Journal Title
Petroleum Science
Journal Volume
8
Journal Issue
4
Journal Page Range
p. 455-461
ISSN
1672-5107

INIS

Country of Publication
China
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50024894
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Descriptors DEI
ABSORPTION; AMPLITUDES; ANISOTROPY; ATTENUATION; CAVES; CHINA; DATA ANALYSIS; DRILLING; FORECASTING; GEOLOGY; MULTIVARIATE ANALYSIS; OPTIMIZATION; SPATIAL DISTRIBUTION; SPECTRA
Descriptors DEC
ASIA; CAVITIES; DATA PROCESSING; DISTRIBUTION; MATHEMATICS; PROCESSING; SORPTION; STATISTICS

Optional Information

Copyright
Copyright (c) 2011 China University of Petroleum (Beijing) and Springer-Verlag Berlin Heidelberg