Application of facies—controlled modeling technology to gas reservoir of Jia 2 member in Moxi Gas Field

  • LI Minjie ,
  • LIN Yuying ,
  • MENG Fanbing ,
  • WANG Xiwen ,
  • WANG Xianjie
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  • Central Siehuan Oil and Gas Mine,PetroChina Southwest Oil and Gas Field Company,Suining 62900 1,China

Online published: 2013-10-08

Abstract

The Jia 2 member in Moxi Gas Field is a structure-lithology trap gas reservoir, with strong heterogeneity and complex gas-water relationship because of double control of sedimentary microfacies and early diagenesis. In order to deploy well site scientifically and make reasonable gas reservoir development adjustment scheme, it must make clear the three-dimensional distribution of the reservoir property and formation water. Reservoir characteristics research shows that sedimentary microfacies is the main controlling factor of reservoir development for Jia 2 member in Moxi Gas Field. Facies-controlled modeling is a method which restrains stochastic modeling based on sedimentary facies distribution characteristics in time and space domain, and the model can reflect the real spatial distribution characteristics of geologic body underground. This paper built three-dimensional sedimentary microfacies model based on facies analysis results of each well and three-dimensional seismic structure interpretation, and built every reservoir section three dimensional petrophysical model by means of facies-controlled sequence Gaussian method based on reservoir property interpretation of each well. The real drilling data show that the model is with high reliability, it provides support for the development of gas field, and it has certain reference significance for the application of facies-controlled modeling in similar area.

Cite this article

LI Minjie , LIN Yuying , MENG Fanbing , WANG Xiwen , WANG Xianjie . Application of facies—controlled modeling technology to gas reservoir of Jia 2 member in Moxi Gas Field[J]. Lithologic Reservoirs, 2013 , 25(4) : 83 -88 . DOI: 10.3969/j.issn.1673-8926.2013.04.016

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