Prediction of elastic coefficient in anisotropic geostress models for Gulong shale, Songliao Basin, NE China

ZHANG Zhaoqian, YAN Weilin, YIN Shujun, ZHENG Jiandong, CHEN Longchuan, ZHU Jianhua

doi:10.11698/PED.20230171

Petroleum Exploration and Development >

2023 20231006 - 20231006

DOI: https://doi.org/10.11698/PED.20230171

Prediction of elastic coefficient in anisotropic geostress models for Gulong shale, Songliao Basin, NE China

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1. Exploration and Development Research Institute of PetroChina Daqing Oilfield Co., Ltd., Daqing 163712, China;
2. Heilongjiang Provincial Key Laboratory of Continental Shale Oil, Daqing 163712, China

Received date: 2023-04-01

Revised date: 2023-06-10

Online published: 2023-07-26

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Abstract

Based on the acoustic logging data of Gulong shale in the Cretaceous Qingshankou Formation in the Songliao Basin, the five elastic parameters C₁₁, C₁₃, C₃₃, C₄₄ and C₆₆ are calculated respectively using different elastic coefficient prediction models, and the accuracy of calculation results of different models is analyzed. Firstly, according to the presence and absence of Stoneley wave patterns of acoustic logging, the estimation models for the five elastic stiffness coefficients are divided into two categories: the ANNIE, M-ANNIE1, and M-ANNIE2 models with Stoneley wave logging data; and the M-ANNIE3 and V-reg models without Stoneley wave logging data. By comparing the prediction performance of different models with the measured C₁₁, C₁₃, and C₆₆ of cores, it is found that the elastic coefficient obtained by the M-ANNIE2 model is in the best agreement with the measured values, but the V-reg model has wider applicability in old wells without array acoustic logging data. Finally, three kinds of geostress models are used for calculation and accuracy comparison. It is found that the anisotropic geostress model has the highest accuracy, and the average absolute error between the minimum horizontal stress calculated by this model and the engineering closure pressure is 1.7 MPa, which meets the requirements of the geostress parameter evaluation.

Key words： Songliao Basin; Cretaceous Qingshankou Formation; continental shale; Gulong shale; shale oil; anisotropy; elastic coefficient; model optimization; geostress

Cite this article

ZHANG Zhaoqian, YAN Weilin, YIN Shujun, ZHENG Jiandong, CHEN Longchuan, ZHU Jianhua . Prediction of elastic coefficient in anisotropic geostress models for Gulong shale, Songliao Basin, NE China[J]. Petroleum Exploration and Development, 2023 : 20231006 -20231006 . DOI: 10.11698/PED.20230171

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