Permeability inversion using induced microseismicity: A case study for the Longmaxi shale gas reservoir

Author:

Zhang Yadong1ORCID,Rezaee Reza2ORCID,Müller Tobias M.3ORCID,Zheng Guangjie4ORCID,Li Jimmy X.2ORCID,Fan Yu5ORCID,Zeng Bo5ORCID,Zhou Xiaojin5ORCID

Affiliation:

1. China University of Petroleum (East China), School of Petroleum Engineering, Qingdao 266580, China.(corresponding author).

2. Curtin University, Western Australian School of Mines: Minerals, Energy and Chemical Engineering, Perth 6151, Australia..

3. Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Department of Seismology, Carretera Ensenada-Tijuana No. 3918, Zona Playitas, Ensenada, BC 22860, México and Hohai University, School of Earth Sciences and Engineering, Nanjing 211100, China..

4. Halliburton Energy Services Ltd, Beijing 100020, China..

5. PetroChina Southwest Oil and Gas Field Company, Shale Gas Research Institute, Chengdu 610056, China..

Abstract

We have predicted the flow permeability and its spatial distribution for the Longmaxi shale gas reservoir using microseismicity induced during hydraulic-fracturing stimulation. In the time-of-occurrence versus distance-from-injector plot, we find that microseismic points exhibit a parabolic envelope, which we interpret as a triggering front. This reveals that fluid pressure diffusion is at least one of the underlying mechanisms of microseismicity generation. We derive the large-scale equivalent diffusivity from the triggering front plot and thereafter obtain a 3D diffusivity map of the heterogeneous reservoir by solving an eikonal-like equation suggested previously. During this process, we apply kriging interpolation to increase the density of sparsely distributed microseismic points. The resulting diffusivity ranges between 1.0 and [Formula: see text] with the peak probability attained at [Formula: see text], which is consistent with the estimate we obtain from the triggering front analysis. We transform the diffusivity map into a permeability map using three different theories of fluid pressure diffusion in porous media: the seismicity-based reservoir characterization method (SBRC) based on Biot’s theory of poroelasticity, the quasirigid medium approximation (QRMA), and the deformable medium approximation (DMA) based on the de la Cruz-Spanos theory. The permeability according to QRMA is slightly higher than that from SBRC, yet we observe no significant difference. However, these estimates are by one order of magnitude higher compared with the permeability estimate from DMA. Furthermore, the permeability from all three theories is much higher than that from previously reported core sample measurements. We interpret this as the difference between large-scale equivalent and matrix permeability and therefore lend weight to the hypothesis that there exist highly conducting fluid pathways, such as natural fractures.

Funder

China Scholarship Council

CICESE

Curtin University

Consejo Nacional de Ciencia y Tecnologia

Publisher

Society of Exploration Geophysicists

Subject

Geology,Geophysics

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