流花油田岩石抗压强度回归模型的建立

Establishment of regression model for compressive strength of rocks in Liuhua Oilfield

孙磊 刘刚 张俊 刘成

长江大学石油工程学院，湖北 荆州 434023

(School of PetroleumEngineering, Yangtze University, Jingzhou 434023, China),

针对中国南海某深海油田，详细介绍了岩石抗压强度的测试目的、测试方法及其影响因素，具体分析了岩石抗压强度与声波时差、岩石密度、孔隙度及地层埋藏深度等参数之间的关系。结合测井解释资料，根据概率论与数理统计基本理论，建立了岩石抗压强度与声波时差、地层深度之间的二元回归模型。通过现场资料进行了验证，结果表明岩石抗压强度回归模型预测的精度比较高，误差控制在15.04%以内。

The testing goals,testing methods and influencing factors for rock compressive strength are described in this article aimed at the
deepwater oilfield in South China Sea. The relations of rock compressive strength to SDT, rock density, rock porosity and strata
depth are analyzed. According to the logging interpretation data, the bivariate regression model between rock compressive strength
and SDT as well as strata depth has been established with the theory of probability and mathematic statistics.The validated reaults
from the field’s data indicate that the accuracy predicted by the regression model of compressive strength of rock is very high and
the percent of error is less than 15.04%.