Solving Mad Dog subsalt imaging in two decades: From WATS to OBN to elastic FWI

Author:

Liu Hui1,Rollins Fran1,Pratt Kevin1,Da Silva Elizabeth1,Mootoo Nathalie1,Yang Tongning1,Ren Dorothy2,Gao Fei2,Mei Jiawei2

Affiliation:

1. BP, Houston, Texas, USA..

2. CGG, Houston, Texas, USA..

Abstract

The Gulf of Mexico (GoM) is one of the most prolific oil and gas producing provinces in the world. The Mad Dog Field, like many large deepwater fields in the GoM, is subsalt. The geometric complexity of the overlying salt causes extremely variable image quality of the strata beneath the salt. Improving the seismic image has been critical for field development, and a tremendous amount of effort has been expended over the years to solve this problem. Over the past two decades, data acquisition has evolved from narrow-azimuth towed streamer to wide-azimuth streamer, and finally to ocean-bottom nodes. Processing methods such as using different anisotropic velocity models of increasing complexity, exhaustive iterations of salt modeling, acoustic full-waveform inversion, and most recently elastic full-waveform inversion have been applied. Dozens of wells have been drilled at Mad Dog guided by the resulting seismic images, and many acquisition and processing learnings have been acquired and implemented over this period to optimize the imaging. This paper explores the techniques that have caused major uplift to subsalt imaging and some techniques that were of only minor impact, while giving a glimpse into the imaging history of one of the GoM's giant fields.

Publisher

Society of Exploration Geophysicists

Subject

Geology,Geophysics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving reservoir imaging using long-offset OBN data: A case study from Conger field, Gulf of Mexico;Third International Meeting for Applied Geoscience & Energy Expanded Abstracts;2023-12-14

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