A Comparison of the Relationship between Dynamic and Static Rock Mechanical Parameters

Author:

Shen Shijie1,Gao Yanfang1,Jia Lichun2

Affiliation:

1. State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi’an 710069, China

2. Drilling & Production Technology Research Institute, CNPC Chuanqing Drilling Engineering Company Limited, Chengdu 610052, China

Abstract

The rock’s mechanical properties play an important role in the whole process of conventional and unconventional oil and gas exploration and progression. At present, there are two approaches to determining the mechanical parameters. One is to measure the rock sample in the laboratory (i.e., static elastic modulus Es). The other is to obtain parameters by geophysical logging data (i.e., dynamic elastic modulus Ed). In general, static parameters can more accurately reflect the mechanical properties of rock under actual geo-stresses. At the same time, their determinations are difficult. Therefore, one of the best methods is to establish the correlation between the dynamic and static parameters. This paper investigates the relation between the dynamic and static parameters using different methods for various rocks in the literature. Based on the relationship of Es=aEd+b, a correction between a and b is proposed using the multinomial form a=0.67+0.101b−0.006b2+0.0001b3. It is found that the Es can be derived from the Ed just when the parameter b is known. In terms of different types of rocks, for igneous and metamorphic rocks, the best correlation between Es and Ed obeys the power-law correlation; for sedimentary rocks, there are linear and logarithmic correlations. Theoretically, the difference between dynamic and static elastic moduli can be attributed to microcracks and pores within rocks. This study can provide guidance for engineers to predict the desired static parameters precisely using logging or seismic data.

Funder

National Natural Science Foundation of China

Young Talent Fund of the University Association for Science and Technology in Shaanxi, China

Northwest University Graduate Innovation Program

Publisher

MDPI AG

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