Improving the Efficiency of Seismic Exploration by Applying 3D Mapping of Open Fracturing by the SVSL Method

Kouznetsov, O.L.; Chirkin, I.A.; Faizulline, I.S.; Meltchouk, B.Y.; Dzhafarov, I.S.; Kuryanov, Y.A.; Nesterov, V.N.; Slenkin, S.I.; Kashirin, G.V.; Mollaev, Z.H.; Kozub, A.P.

doi:10.3997/2214-4609-pdb.5.g038

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“…The separation may come in the form of detecting continuous reflection event and remove it from the seismic using structure-oriented filtering such as plane-wave-destruction (PWD) [8], or multi-focusing [9]. Another way to accomplish the goal is to embed the reflection-diffraction separation as a part of the migration itself (such as side view seismic location -SVSL [10], velocity continuation method [11] or local angle domain [12]). A seismic cube of diffraction index is the result of such separation process.…”

Section: Theory and Methodologymentioning

confidence: 99%

Diffraction imaging for basement fault-fracture prediction: Application to an oil field in Cuu Long basin

Minh¹,

Lam²,

Cuong³

et al. 2020

PVJ

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Improvement to the image of fractured granite basements is among the most sought-after goals for processing seismic data in Cuu Long basin, the most proliferous petroleum basin. Unlike a clear layering structure of the sediment, fuzzy images of the granite basement are often the source of confusion for interpreters to identify which structures are presented inside it. In such a low signal to noise ration (SNR) environment, extracting geological information such as fault systems and fracture becomes challenging. In this study, diffraction imaging is employed in an effort to identify and enhance the fault system inside the basement. The comparison of the study result with various standard post-stack attribute approaches shows the effectiveness of the diffraction imaging method.

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