In this paper, a universal multi–frequency micro-resistivity array imaging (UMMAI) system for
subsurface sensing is developed and verified. Different from conventional micro-resistivity …

摘要本文将非均质各向异性地层中电磁场耦合势Helmhotz 方程分解为各向异性背景场方程与
散射场方程, 并应用算子展开技术推导出耦合势Born 级数解, 建立一套三维非均质各向异性地层 …

The inversion of logging-while-drilling (LWD) measurements using deep learning (DL)(data-
driven approach) is a rapidly growing topic of interest in well geosteering. DL inversion …

Higher dimensional (ie, 2-D and 3-D) modeling is indispensable to correctly evaluate the
responses of electromagnetic (EM) logging tools in complex formation environments …

In this paper, the Helmholtz equation of electromagnetic (EM) coupled potentials in
inhomogeneous anisotropic formation is decomposed into two parts: anisotropic …

The logging-while-drilling (LWD) ultradeep azimuthal electromagnetic tool plays a pivotal
role in real-time drilling optimization operations. Established tool designs include arrays of …

Knowing formation ahead of the drill bit can help with hydrocarbon exploration and
production, especially for low-angle and vertical wells. The advent of electromagnetic look …

Electromagnetic logging technology is widely utilized for hydrocarbon resources exploration
and production. Since the responses captured by the logging tools are too complex, inverse …

Predicting formations ahead of the drill bit at low angles can have a significant impact on
drilling operations. Due to low sensitivity and a scarcity of useful measurements, solving this …

In this paper, a fast forward modeling framework for predicting the logging-while-drilling
(LWD) tool responses is presented. Unlike the traditional numerical methods based on the …