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.

基于层状地层电磁测井的拟解析方程，提出了一种最优的边界匹配方法来自适应地截断所遇到的地层结构。提出了一种有效的加速Sommerfeld积分收敛的方法。通过渐近逼近和减去散射场中的第一反射/透射波，新的Sommerfeld积分方法解决了传统数字滤波方法遇到的困难，例如计算精度低和工作范围有限，并实现了计算速度的加速。随钻测井电磁测量（LWD EM）。通过利用来自偏移井/先导井的先验信息并交互调整地层模型，确定反演模型的最佳初始猜测，以便预测附近的地层边界。开发了梯度优化算法，建立了水平井随钻电磁数据交互反演系统。现场数据反演结果表明，实时交互式反演方法能够根据随钻测井EM提供井眼周围各层的准确边界，有利于井眼轨迹优化和储层解释。