Interpretation of magnetotelluric data from the Gachsaran oil field using sharp boundary inversion

Sarvandani, Mohamadhasan Mohamadian; Kalateh, Ali Nejati; Unsworth, Martyn; Majidi, Abbas

doi:10.1016/j.petrol.2016.10.019

Cited by 13 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has some advantages such as low cost, large probing depth, not affected by high-resistivity shielding and high resolution to the low-resistivity layer. In the last decades, the MT method has become more widely used in hydrocarbon exploration [3].…”

Section: Introductionmentioning

confidence: 99%

Improved Parallel PSO Inversion for the MT Sounding Data

Xiong¹,

Liu²

2017

IJEACS

View full text Add to dashboard Cite

Abstract-The magnetotelluric (MT) method has become more widely used in hydrocarbon exploration. The inversion of MT data, which can determine the electrical structure of subsurface, is a nonlinear and multimodal optimization problem. Particle swarm optimization (PSO) algorithm is a good solver for this geophysical inversion problem, whereas it has a shortage of heavy computation time. An improved parallel adaptive PSO inversion algorithm for MT data is proposed in order to decrease the computation time. The performance of the proposed algorithm was evaluated on the Dawn 4000L supercomputer using the synthetic MT data of 1D layered geo-electrical models of three and four layers. The numeric results show that the proposed algorithm can obtain the as good solution as the serious PSO inversion algorithm, and can reduce the computation time obviously when more computing nodes been employed. This result indicates that proposed improved parallel inversion algorithm can deal with the computation time problem and provide theory and technology support the MT data non-linear inversion based on PSO.

show abstract

Section: Introductionmentioning

confidence: 99%