伽马-伽马密度快速正演结果作为中子和密度联合反演模型的输入,对实时反演确定地层几何结构及属性参数具有重要的意义.基于时间独立的玻耳兹曼输运方程,结合微扰理论与蒙特卡罗(Monte Carlo N Particle Transport Code,MCNP)模拟,形成...伽马-伽马密度快速正演结果作为中子和密度联合反演模型的输入,对实时反演确定地层几何结构及属性参数具有重要的意义.基于时间独立的玻耳兹曼输运方程,结合微扰理论与蒙特卡罗(Monte Carlo N Particle Transport Code,MCNP)模拟,形成了伽马-伽马密度快速计算方法.以双源距补偿密度仪器参数为基准,建立了不同基准密度地层条件下的扰动灵敏度函数数据库.分析对比了快速计算和蒙特卡罗模拟在不同岩性密度、水平层状地层及倾斜地层条件下的密度结果与误差.结果表明:不同地层条件下的伽马-伽马密度快速计算结果与MCNP模拟结果吻合,三种岩性(砂岩、碳酸岩和白云岩)密度计算的平均误差小于0.01 g·cm^(-3)且与MCNP模拟速度相比,快速计算效率提高10^(6)倍.展开更多
Based on the pseudo-analytical equation of electromagnetic log for layered formation,an optimal boundary match method is proposed to adaptively truncate the encountered formation structures.An efficient integral metho...Based on the pseudo-analytical equation of electromagnetic log for layered formation,an optimal boundary match method is proposed to adaptively truncate the encountered formation structures.An efficient integral method is put forward to significantly accelerate the convergence of Sommerfeld integral.By asymptotically approximating and subtracting the first reflection/transmission waves from the scattered field,the new Sommerfeld integral method has addressed difficulties encountered by the traditional digital filtering method,such as low computational precision and limited operating range,and realized the acceleration of the computation speed of logging-while-drilling electromagnetic measurements(LWD EM).By making use of the priori information from the offset/pilot wells and interactively adjusting the formation model,the optimum initial guesses of the inversion model is determined in order to predict the nearby formation boundaries.The gradient optimization algorithm is developed and an interactive inversion system for the LWD EM data from the horizontal wells is established.The inverted results of field data demonstrated that the real-time interactive inversion method is capable of providing the accurate boundaries of layers around the wellbore from the LWD EM,and it will benefit the wellbore trajectory optimization and reservoir interpretation.展开更多
文摘伽马-伽马密度快速正演结果作为中子和密度联合反演模型的输入,对实时反演确定地层几何结构及属性参数具有重要的意义.基于时间独立的玻耳兹曼输运方程,结合微扰理论与蒙特卡罗(Monte Carlo N Particle Transport Code,MCNP)模拟,形成了伽马-伽马密度快速计算方法.以双源距补偿密度仪器参数为基准,建立了不同基准密度地层条件下的扰动灵敏度函数数据库.分析对比了快速计算和蒙特卡罗模拟在不同岩性密度、水平层状地层及倾斜地层条件下的密度结果与误差.结果表明:不同地层条件下的伽马-伽马密度快速计算结果与MCNP模拟结果吻合,三种岩性(砂岩、碳酸岩和白云岩)密度计算的平均误差小于0.01 g·cm^(-3)且与MCNP模拟速度相比,快速计算效率提高10^(6)倍.
基金Supported by the National Natural Science Foundation of China(41904109,41974146)National Science and Technology Major Project(2017ZX05019-005)+2 种基金China Postdoctoral Science Foundation(2018M640663)the Shandong Province Postdoctoral Innovation Projects(sdbh20180025)National Key Laboratory of Electromagnetic Environment Projects(6142403200307)。
文摘Based on the pseudo-analytical equation of electromagnetic log for layered formation,an optimal boundary match method is proposed to adaptively truncate the encountered formation structures.An efficient integral method is put forward to significantly accelerate the convergence of Sommerfeld integral.By asymptotically approximating and subtracting the first reflection/transmission waves from the scattered field,the new Sommerfeld integral method has addressed difficulties encountered by the traditional digital filtering method,such as low computational precision and limited operating range,and realized the acceleration of the computation speed of logging-while-drilling electromagnetic measurements(LWD EM).By making use of the priori information from the offset/pilot wells and interactively adjusting the formation model,the optimum initial guesses of the inversion model is determined in order to predict the nearby formation boundaries.The gradient optimization algorithm is developed and an interactive inversion system for the LWD EM data from the horizontal wells is established.The inverted results of field data demonstrated that the real-time interactive inversion method is capable of providing the accurate boundaries of layers around the wellbore from the LWD EM,and it will benefit the wellbore trajectory optimization and reservoir interpretation.
