Seismic imaging through gas clouds: A data‐driven imaging strategy

Ghazali, A.R.; Verschuur, D.J.; Gisolf, A.

doi:10.1190/1.3059342

Cited by 9 publications

(3 citation statements)

References 11 publications

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“…In fact, the hydrocarbon reservoirs or areas of interest are typically located at greater depths within the subsurface, and the recorded data tend to be distorted during the wave propagation through the overburden, particularly in the presence of complex anomalies such as salt or shallow gas clouds. These distortions are due to the strong lateral variation of the velocity in the overburden which then results in strong scattering effects, dispersion, internal multiples, and mode conversion as well as anelastic losses [26]. This is precisely why the Kirchhoff migration approach is typically avoided in the presence of complex geology, as it tends to introduce artifacts in the images, thereby disrupting the interpretation beneath the complex overburden.…”

Section: Introductionmentioning

confidence: 99%

“…Therewith, seismic redatuming is used to simplify the recorded data and eliminate the overburden effects [26,27] by virtually relocating the acquisition surface beneath the complex geology, simulating the acquisition as if it were conducted at the redatumed level [28]. A seismic redatuming method was primarily used as a straightforward static correction, mainly applied on land seismic data, However, it has emerged as part of subsurface imaging to addressed challenges associated with the complex near surface conditions.…”

Section: Introductionmentioning

confidence: 99%

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Unveiling Accurate Seismic Imaging through the Advanced Target-Oriented Kirchhoff Migration Method

Dzulkefli,

Abdul Latiff,

Hashim

et al. 2023

Applied Sciences

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A major challenge for the oil and gas industry is expediting the exploration geophysics activity. It is necessary to produce fast and accurate image of the targeted hydrocarbon reservoir, yet it involves extensive dataset due to the target location lies in deeper subsurface. Therefore, target-oriented oil and gas-reservoir imaging is currently seen as more attractive than conventional full-volume migration, in terms of computation efficiency. Through the integration of seismic redatuming with Kirchhoff migration, we presented a target-oriented imaging workflow that can effectively reduce computational cost while simultaneously enhancing the accuracy of the migrated image. Kirchhoff migration is renowned for being one of the simplest and flexible migration techniques, making it straightforward to implement. However, this migration approach is typically avoided in the presence of complex geology, as it tends to introduce artifacts in the images, thereby disrupting the interpretation beneath the complex overburden. Therefore, this paper highlighted the advantages of utilizing seismic redatuming to retrieve data beneath the overburden, followed by the utilization of the redatumed data as input for Kirchhoff migration. With an improved signal to noise ratio, the primary reflection events were amplified, providing clearer representation of the subsurface structure within the hydrocarbon reservoir or targeted area. Additionally, we utilized the benefits of Kirchhoff migration and explored the feasibility of performing patch-based migration in several areas of interest beneath the salt layer. This approach aimed to reduce both the turnaround time and the associated seismic migration costs. The developed workflow then was subsequently put to the test and applied to both a sub-salt SEG Advanced Modeling (SEAM) model and field data situated in East Malaysia. Based on the outcomes of the target-oriented migration, the proposed methodology demonstrated its capability to generate better quality and instant migrated images within the designated region. Furthermore, the feasibility of target-oriented imaging with Kirchhoff migration was substantiated through the integration of seismic redatuming, resulting in significant benefits towards seismic processing, imaging, and interpretation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Unveiling Accurate Seismic Imaging through the Advanced Target-Oriented Kirchhoff Migration Method

Dzulkefli,

Abdul Latiff,

Hashim

et al. 2023

Applied Sciences

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“…In Malaysia, poor subsurface imaging through seismic due to gas seepage is a common problem. Low saturation gas causes reflectivity loss and it can be challenging to interpret hydrocarbon prospects with conventional methodology (Ghazali et al, 2008). Controlled Source Electromagnetic (CSEM) measurements map a different sediment property, namely the electrical property rather than the acoustic (Eidesmo et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Looking Through the Haze - How CSEM can Improve Reservoir Imaging Where Seismic Struggles - A Case Study from Malaysia

Chakraborty¹,

Choo²,

Pedersen³

2013

London 2013, 75th Eage Conference en Exhibition Incorporating SPE Europec

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We present a CSEM survey case in offshore Sarawak, Malaysia showing how CSEM can help reservoir imaging where seismic struggles due to poor seismic reflection. The Seismic data at the prospect depth shows poor reflection due to low saturated gas seepage The CSEM data was acquired in 2008 along two receiver lines assuring azimuth data coverage between the lines.. EMGS performed 2.5D inversion along both the tow lines and the result showed resistive anomalies in one of the structures in each lines. In 2009 Newfield drilled a well in one of the structure which resulted in a gas discovery. Pre-drill 2.5D inversion result matches well with the well log. In early 2012, Newfield drilled a second well a few Km off the CSEM line in the other structure, which was believed to be oil charged but was dry. CSEM inversion did not show any anomaly in that structure. Unconstrained anisotropic 3D inversion was performed in 2012 and the results were then correlated with the well logs. The result of 3D inversion matches very well with the well logs and also laterally with the structure.

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Sparse Closed-Loop Surface Related Multiple Elimination

Latiff

Hashim

2021

Studies in Systems, Decision and Control

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Seismic imaging through gas clouds: A data‐driven imaging strategy

Cited by 9 publications

References 11 publications

Unveiling Accurate Seismic Imaging through the Advanced Target-Oriented Kirchhoff Migration Method

Unveiling Accurate Seismic Imaging through the Advanced Target-Oriented Kirchhoff Migration Method

Looking Through the Haze - How CSEM can Improve Reservoir Imaging Where Seismic Struggles - A Case Study from Malaysia

Sparse Closed-Loop Surface Related Multiple Elimination

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