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Abstract


 
Chapter from: SG 42:  Applications of 3-D Seismic Data to Exploration and Production

Edited by: 
Paul Weimer and Thomas L. David

Authors:
Matthew R. Silverman, Qin Wang, Bruce L. Byrd, Zhao Jiong Kun, Zhang Hai Ying, Chen Ming, and Paul Weimer


Published 1996 as part of Studies in Geology 42
Copyright © 1996 The American Association of Petroleum Geologists.   All Rights Reserved.
 

*Editorial Note: Page numbers in this digital version (HTML and PDF) do not correspond to those of the hardcopy.
Otherwise, the two are the same.
 

CHAPTER 9

Chapter 9: 3-D Evaluation of the Ping Hu Field, East China Sea

Matthew R. Silverman,* Qin Wang,* Bruce L. Byrd,* Zhao Jiong KunÝ, Zhang Hai Ying,Ý Chen MingÝ, and Paul Weimerý

 

Silverman, M. R., Qin Wang, B. L. Byrd, Zhao Jiong Kun, Zhang Hai Ying, Chen Ming, and P. Weimer, 3-D Evaluation of the Ping Hu Field, East China Sea, in P. Weimer and T. L. Davis, eds., AAPG Studies in Geology No. 42 and SEG Geophysical Developments Series No. 5, AAPG/SEG, Tulsa, p. 91-102.
ABSTRACT

Ping Hu Field, discovered in 1982 in the East China Sea, 365 km offshore China, consists of two structural closures on a complex, faulted anticline. Chinese authorities have planned for the field to provide natural gas to Shanghai in the 21st century. Five wells have been drilled, and more than 2400 km of 2-D and 118 km2 of 3-D seismic data have been interpreted. Both structures were identified by 2-D data and drilled prior to acquisition of the 3-D seismic data.

Interpretation included mapping key reservoirs and fault analysis. Reservoir composition, distribution, and lateral variations were described. These variations were determined by studying geophysical attributes of the data, which included instantaneous amplitude, frequency, phase, and acoustic impedance. Seismic data were inverted to acoustic impedance (density and velocity) and transformed into reservoir parameters. Crossplot regression analyses of petrophysical parameters were performed, and relationships between pairs of values of porosity, acoustic impedance, permeability, and water saturation were derived.

An integrated geological-geophysical- reservoir engineering evaluation was required for accurate hydrocarbons-in-place calculations. The interpretation was utilized for field development planning, but implementation has been delayed due to distance from shore relative to field size.

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