Logging evaluation and production “sweet spot” identification of shale play: a case study on Eagle Ford shale play in the USA

doi:10.3969/j.issn.1672-7703.2017.03.013

Abstract

Abstract: In this paper, the Eagle Ford shale play in the USA was taken as an example to discuss the logging-based shale play evaluation methods and identify the main geological factors controlling shale gas production. The logging data of this area is mainly conventional, and the core analysis data is relatively abundant. The logging data of key wells in this area were processed and interpreted by means of multivariate statistics modeling method and multi-mineral optimization method, respectively. The results indicate that the reservoir parameters calculated by the multivariate statistics modeling method are better consistent with core analysis data, presenting higher accuracy. The production is quite different in zones of the Eagle Ford shale play, and it is mainly controlled by porosity. The production sweet spot of shale gas can be predicted by using the P-wave impedance of seismic inversion.

Key words: Eagle Ford shale gas, multivariate statistics, multi-mineral optimization, production sweet spot, main geological factors

CLC Number:

P631.8

Yu Jie, Qin Ruibao, Liu Chuncheng, Chen Guihua. Logging evaluation and production “sweet spot” identification of shale play: a case study on Eagle Ford shale play in the USA[J]. China Petroleum Exploration, 2017, 22(3): 104-112.

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