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Abstract

Summary

It is now more important than ever to maximize the return on investment in currently volatile world of oil and gas exploitation. Finding and producing hydrocarbons is technically challenging and economically risky. The term “big data” has historically been regarded by the oil and gas industry as a term used by “softer” industries to track people’s behaviours, buying tendencies, sentiments, and others. However, the concept of big data - commonly defined as increasing volume, variety, velocity, and veracity of data - is starting to be used in the oil and gas industry particularly in relation to high-density seismic acquisition. Seismic technology plays a major role in reducing risk associated with drilling through identification of potential target strata and the detection of hazards by providing images of the subsurface, and by extracting rock and fluid properties through inversion. In this paper, we explore the concept of big data in relation to the seismic industry. We discuss some challenges assosiated with big seismic data acquisition and processing. In conclusion we demonstrate the opportunities such ‘big data’ provides to reduce the drilling risk and find more oil and gas with less environmental impact.

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/content/papers/10.3997/2214-4609.201801246
2018-06-11
2024-03-28
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References

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