U.S. Department of EnergyOffice of Scientific and Technical Information
Reservoir characerization by integrating well data and seismic attributes
Abstract
Fueled by the continuing development of computer technology, traditional techniques for reservoir characterization have evolved into a multidisciplinary process. In particular, geostatistical techniques have provided a framework for integrating all available engineering and geoscience data. In this paper, we will demonstrate a seismic-guided geostatistical method on a realistic seismic data set. A cross section from a three-dimensional reservoir facies model was used to test the capabilities of this method. Synthetic seismic data were generated from the geologic cross section and then input to a seismic inversion process to estimate acoustic impedance. Five porosity logs derived from the known model were used as hard data. Using this hard data, and utilizing varying correlation coefficients between the hard data and soft data, a set of gridded maps were generated using a geostatistical method. Comparisons of the results with the known model clearly indicate the potential of this type of approach to provide meaningful reservoir characterizations consistent with the available data. The integration procedure illustrated in this paper can be used as a basis by engineers and geoscientists to develop specific procedures for their applications. The demonstrations in characterization quality improvement can be used to justify the need for integrating seismic data intomore »
- Authors:
- Publication Date:
- OSTI Identifier:
- 207271
- Report Number(s):
- CONF-951002-
TRN: 96:000704-0030
- Resource Type:
- Conference
- Resource Relation:
- Conference: Annual meeting of the Society of Petroleum Engineers (SPE), Dallas, TX (United States), 22-25 Oct 1995; Other Information: PBD: 1995; Related Information: Is Part Of Formation evaluation and reservoir geology. 1995 SPE annual technical conference and exhibition; PB: 1010 p.
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 02 PETROLEUM; RESERVOIR ROCK; GEOLOGIC MODELS; SEISMIC SURVEYS; POROSITY; OIL FIELDS; RESOURCE DEVELOPMENT
Citation Formats
Yang, An-Ping, Gao, Yaming, and Henry, S. Reservoir characerization by integrating well data and seismic attributes. United States: N. p., 1995.
Web.
Yang, An-Ping, Gao, Yaming, & Henry, S. Reservoir characerization by integrating well data and seismic attributes. United States.
Yang, An-Ping, Gao, Yaming, and Henry, S. 1995.
"Reservoir characerization by integrating well data and seismic attributes". United States.
@article{osti_207271,
title = {Reservoir characerization by integrating well data and seismic attributes},
author = {Yang, An-Ping and Gao, Yaming and Henry, S},
abstractNote = {Fueled by the continuing development of computer technology, traditional techniques for reservoir characterization have evolved into a multidisciplinary process. In particular, geostatistical techniques have provided a framework for integrating all available engineering and geoscience data. In this paper, we will demonstrate a seismic-guided geostatistical method on a realistic seismic data set. A cross section from a three-dimensional reservoir facies model was used to test the capabilities of this method. Synthetic seismic data were generated from the geologic cross section and then input to a seismic inversion process to estimate acoustic impedance. Five porosity logs derived from the known model were used as hard data. Using this hard data, and utilizing varying correlation coefficients between the hard data and soft data, a set of gridded maps were generated using a geostatistical method. Comparisons of the results with the known model clearly indicate the potential of this type of approach to provide meaningful reservoir characterizations consistent with the available data. The integration procedure illustrated in this paper can be used as a basis by engineers and geoscientists to develop specific procedures for their applications. The demonstrations in characterization quality improvement can be used to justify the need for integrating seismic data into the reservoir description process.},
doi = {},
url = {https://www.osti.gov/biblio/207271},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Dec 31 00:00:00 EST 1995},
month = {Sun Dec 31 00:00:00 EST 1995}
}