The advancement in azimuthal propagation resistivity tools enables them to see much further into the formation compared to previous tools, which indicates that multiple layers earth models are necessary for inversion. However, the multilayer inversion is of tentimes highly nonlinear, and the gradient-based deterministic optimization methods such as gradient descent and Newton’s method are prone to be trapped in local optimum. Therefore, an alternative approach is demanded to cater to the advanced logging tools. In this study, a stochastic method called particle swarm optimization (PSO) is recommended for multilayer geosteering inversion due to its excellent performance in terms of global searching as well as its easy implementation and simplicity for parallelization. Two examples are provided to demonstrate the capability of PSO on geosteering applications at the end.

Presentation Date: Tuesday, October 16, 2018

Start Time: 8:30:00 AM

Location: 212A (Anaheim Convention Center)

Presentation Type: Oral

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