New technology for reservoir prediction by element content inversion——a case study on a HPHT gas field in Yinggehai Basin

doi:10.3969/j.issn.1672-7703.2017.06.012

Abstract

Abstract: The statistical relationship between element contents and reservoir quality suggests that aluminum and vanadium can be used to measure reservoir quality, and the mechanism was analyzed. To make it a valuable reservoir prediction tool, following the principle that combines the mechanism with seismic inversion methods, several experimental researches were conducted on primary seismic inversion methods, and finally a reservoir quality evaluation method was developed based on cuttings analysis data. Specifically, frequency-divided inversion was employed to map the spatial variation of favorable reservoirs based on cuttings analysis data. The method is of great importance to pre-drilling research. In addition, hardly affected by radioactive elements, it is useful for re-examination on old well data, especially in early exploration without enough drilled wells. For field application of this method, the resolution and how to filter data are discussed in this paper. This technology has been applied in a HPHT gas field in the Yinggehai basin and achieved a great success:the TVD prediction error of high quality reservoirs in 6 directional wells and 1 horizontal well is less than 6m(4ms), which meets the ODP adjustment precision while drilling, and realizes multi-disciplinary dynamic integration of mud logging, experiment, geology and geophysics.

Key words: element content inversion, Al-V characteristic elementchart, reservoir prediction, frequency-divided inversion, Yinggehai Basin

CLC Number:

TE13.19

Zhong Jialiang, Lü Qiaofeng, Gao Hongyi, Zhang Heju, Gao Yunlong, Wang Feng, Yang Hu. New technology for reservoir prediction by element content inversion——a case study on a HPHT gas field in Yinggehai Basin[J]. China Petroleum Exploration, 2017, 22(6): 101-111.

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