YAN Wei, MENG Xianglong, FENG Yongcun, JIANG Qingping, ZHAO Yuan, CAI Wenjun, XIAN Chenggang. Study on correlation between glutenite resistivity and rock mechanical parameters[J]. Oil Drilling & Production Technology, 2022, 44(1): 9-14. DOI: 10.13639/j.odpt.2022.01.002
Citation: YAN Wei, MENG Xianglong, FENG Yongcun, JIANG Qingping, ZHAO Yuan, CAI Wenjun, XIAN Chenggang. Study on correlation between glutenite resistivity and rock mechanical parameters[J]. Oil Drilling & Production Technology, 2022, 44(1): 9-14. DOI: 10.13639/j.odpt.2022.01.002

Study on correlation between glutenite resistivity and rock mechanical parameters

  • In order to study the correlation between resistivity and rock mechanical parameters, a tight glutenite reservoir in some block on the northwestern margin of the Junggar Basin was taken as the research object. On the basis of the definite relationship between rock wave velocity and mechanical parameters, the correlations between the three resistivity curves in conventional logging data and the acoustic interval transit time were compared, and a model calculating rock mechanical parameters for glutenite reservoirs based on the in-situ resistivity of the formation was proposed. The research results show that the correlation between resistivity and acoustic interval transit time is good, and the invasion of drilling fluid will affect the correlation between the two, so it is suitable to use the in-situ resistivity of the formation to predict the mechanical parameters of the rock; the mean square error and average relative error of the predicted rock mechanical parameters obtained by the new model are smaller than those of the Faust formula and the logarithmic model, especially in the pure glutenite section, the error of the predicted results obtained by the new model is reduced by more than 50% compared with Faust model, with significant improvement in fitting effect. The case application shows that when comparing with the mechanical parameters obtained by acoustic interval transit time and density, the error of the mechanical parameters obtained by the new model is less than 10%. The research shows that the model can provide a reference for evaluating rock mechanical parameters of tight glutenite reservoirs under the conditions of lacking sonic logging.
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