[First Hit]

2019 AAPG Annual Convention and Exhibition:

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A Multi-Disciplinary Workflow to Achieve the Largest, Seamless, High-Previous HitQualityNext Hit Presalt Image in Santos Basin, Brazil

Abstract

The Industry’s largest, seamless, high-Previous HitqualityNext Hit Reverse Time Migration (RTM) seismic image over a

massive 34000 sq. km of Santos Basin, Brazil, has been produced by applying advanced imaging

techniques on various vintages of data. With the ever-shrinking turnaround time requirements for

seismic Previous HitprocessingNext Hit, having an effective cross-disciplinary cooperation is necessary to efficiently and

accurately image these large datasets. Understanding the response of a seismic image to velocity or

geological models, or imaging algorithms is critical for imaging the reservoir targets accurately.

Furthermore, minimizing the uncertainty associated with the resulting image is a prerequisite.

Additional challenges involved with the Previous HitprocessingNext Hit of large datasets are the High Performance

Computing (HPC) and Previous HitQualityNext Hit Previous HitControlNext Hit (QC) requirements. To ensure production of Previous HitqualityNext Hit images in a

timely manner, real time analytics are needed to manage HPC throughput, disk utilization, and QC of

seismic images. This results in the need for workflows across multi-disciplinary teams efficiently

contributing to and creating the required seismic images. The use of such a workflow on a large seismic

dataset over the Santos Basin is outlined here.

Reservoir targets in the Santos Basin are mainly localized in presalt carbonate build-ups underneath the

Layered Evaporite Sequences (LES). A geological understanding of LES complexity and the differing

character of the post-salt carbonates layers, along with available well data, must be incorporated into

the geophysical velocity model building flow to produce a clear presalt image with a consistent reservoir

geometry. The decision-making process benefits from efficiently analyzing a large number of volumetric

datasets, generated for QC and constrained by geological and geophysical metrics. The goal throughout

the workflow was to use all available tools in a manner that promotes efficiency, improves Previous HitqualityTop and

reduces turnaround time. For example, to reduce the time required for an enormous amount of Base of

Salt (BOS) interpretation, a workflow using Full Waveform Inversion (FWI) was developed for a data-

driven, computer-based approach to salt velocity model building. The result of this multi-disciplinary

approach is evident in a very large-scale seismic dataset with enhanced presalt imaging, which can be

used for reservoir architecture analysis and exploration risks mitigation.