2007Tianranqi gongyeRequires access

SEISMIC RESERVOIR INVERSION AND PREDICTION TECHNIQUE FOR THE BLOCK SU-5, SULIGE GAS FIELD

Meng Shan

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Abstract

The Permian gas reservoir in Sulige gas field belongs to fluvial-delta sandstone lithologic gas reservoir with strong heterogeneity, low porosity and low permeability, moreover, the effective reservoir is thin with strong lateral thickness variations, which will bring great challenges for the gas field exploration and development. Due to the complexity of the lithologic trap in the sandstone reservoir, the conventional inversion and interpretation technique can't meet the requirements for Permian sandstone reservoir prediction in Sulige area. In order to accurately predict the sandstone bodies in He 8 reservoir section, as well as the vertical and horizontal distribution of the effective sandstone bodies, and provide accurate drilling well locations and effectively exploit the gas reservoir in He 8 section, the paper developed seismic inversion research for seeking the suitable inversion method with 3D seismic data acquired in the block Su-5 in 2004. Through comparisons among many inversion methods, the paper put forward that the statistics-based stochastic seismic inversion technique can predict the sandstone reservoir distribution in Permian in Sulige gas field effectively. The effective sandstone distribution extents have been obtained by using the processed seismic data, besides, the commercial gas flow has been found in the proposed drilling wells, and remarkable economical effects have been gained.

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What this paper is about

The Permian gas reservoir in Sulige gas field belongs to fluvial-delta sandstone lithologic gas reservoir with strong heterogeneity, low porosity and low permeability, moreover, the effective reservoir is thin with strong lateral thickness variations, which will bring great challenges for the gas field exploration and development. Due to the complexity of the lithologic trap in the sandstone reservoir, the conventional inversion and interpretation technique can't meet the requirements for Permian sandstone reservoir prediction in Sulige area. In order to accurately predict the sandstone bodies in He 8 reservoir section, as well as the vertical and horizontal distribution of the effective sandstone bodies, and provide accurate drilling well locations and effectively exploit the gas reservoir in He 8 section, the paper developed seismic inversion research for seeking the suitable inversion method with 3D seismic data acquired in the block Su-5 in 2004. Through comparisons among many inversion methods, the paper put forward that the statistics-based stochastic seismic inversion technique can predict the sandstone reservoir distribution in Permian in Sulige gas field effectively. The effective sandstone distribution extents have been obtained by using the processed seismic data, besides, the commercial gas flow has been found in the proposed drilling wells, and remarkable economical effects have been gained.

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Available abstract

The Permian gas reservoir in Sulige gas field belongs to fluvial-delta sandstone lithologic gas reservoir with strong heterogeneity, low porosity and low permeability, moreover, the effective reservoir is thin with strong lateral thickness variations, which will bring great challenges for the gas field exploration and development. Due to the complexity of the lithologic trap in the sandstone reservoir, the conventional inversion and interpretation technique can't meet the requirements for Permian sandstone reservoir prediction in Sulige area. In order to accurately predict the sandstone bodies in He 8 reservoir section, as well as the vertical and horizontal distribution of the effective sandstone bodies, and provide accurate drilling well locations and effectively exploit the gas reservoir in He 8 section, the paper developed seismic inversion research for seeking the suitable inversion method with 3D seismic data acquired in the block Su-5 in 2004. Through comparisons among many inversion methods, the paper put forward that the statistics-based stochastic seismic inversion technique can predict the sandstone reservoir distribution in Permian in Sulige gas field effectively. The effective sandstone distribution extents have been obtained by using the processed seismic data, besides, the commercial gas flow has been found in the proposed drilling wells, and remarkable economical effects have been gained.

Key concepts: Geology, Natural gas field, Inversion (geology), Lithology, Permian, Drilling, Petrology, Seismic inversion

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