In situ stress prediction method for decoupled overburden pressure under tectonic constraints

Author:

Zhou Hao1,Zong Zhaoyun123,Yang Yaming1,Luo Kun1

Affiliation:

1. School of Geosciences, China University of Petroleum (East China) , Qingdao 266580 , China

2. Pilot National Laboratory for Marine Science and Technology (Laoshan) , Qingdao 266580 , China

3. Shandong Provincial Key Laboratory of Deep Oil and Gas , Qingdao 266580 , China

Abstract

Abstract The prediction of in situ stress based on azimuthal seismic data has extensive use in horizon crushability evaluation. Nonetheless, existing in situ stress seismic prediction models do not consider overburden pressure and tectonic strain, which limit the prediction accuracy. To this end, we propose a decoupled overburden pressure in situ stress prediction method under tectonic constraints. The key to this method is to consider that the overburden pressure could act on the rock skeleton and pore fluid, i.e. generating effective pressure and pore pressure; the pore pressure can be estimated using Eaton's method, and then the effective stress can be obtained. The relationship between tectonic strain and effective pressure is constructed based on Hooke's law, where tectonic strain can be calculated from curvature attributes extracted from seismic data. Introducing pore pressure and deriving a model for calculating the maximum and minimum horizontal stresses and the difference in horizontal stress ratio for orthotropic media (OA). When the Thomson anisotropy parameters and the pore pressure are neglected, the proposed model can be degraded to a conventional horizontal transverse isotropy medium in situ stress prediction model, which proves the validity of the model. The results of sensitivity analysis experiments affirm the need to decouple overburden pressure and account for tectonic strain when predicting in situ stress reasonably. Finally, single-well and azimuthal seismic prediction were carried out by using the a priori information from well logging and seismic data.

Funder

National Natural Science Foundation of China

Ministry of Science and Technology

SINOPEC

Publisher

Oxford University Press (OUP)

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