Marchenko imaging assisted by VSP data for land seismic data in the Middle East

IF 3 2区 地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS
Geophysics Pub Date : 2023-11-22 DOI:10.1190/geo2023-0167.1
Liwei Cheng, Ali Tura, James Simmons, Roel Snieder, Petar Vladov Angelov, Rao Narhari Srinivasa, Shamima Akther
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Abstract

Attenuating interference from internal multiples has challenged seismic data imaging in the Middle East basins. The challenge results from the strong short-period internal multiples that exhibit nearly indistinguishable characters from the primaries reflected from the underlying reservoirs due to predominantly horizontal strata and occasional low-relief structures, as shown in the Jurassic formations in Kuwait. To address the internal-multiple issues, multiple prediction followed by adaptive subtraction is the most common approach in the industry. However, due to the similarities between primaries and multiples, applying adaptive subtraction poses a high risk of primary-amplitude damage, preventing quantitative seismic data interpretation. Therefore, we examine the Marchenko method, which retrieves Green’s functions from surface seismic data for target-oriented imaging without applying adaptive subtraction. Marchenko imaging has shown promising results on several offshore seismic datasets, but an onshore application is still needed. To better understand the effects of internal multiples and implement Marchenko imaging, we perform integrated analysis through well log, vertical seismic profiling (VSP), and seismic data from a hydrocarbon field in Kuwait. In addition, we use VSP data to cross-check the retrieved Green’s functions and estimate the scaling factor of the Marchenko method. The results show that 1) the poor imaging at the center of the field is due to destructive interference of internal multiples, 2) the reverberation of internal multiples between the evaporite formations of the overburden are the most likely candidates that affect the seismic images of the Jurassic reservoirs, 3) the retrieved Green’s functions conform to the recorded Green’s functions from VSP data, and 4) Marchenko imaging provides a means to improve the seismic images of the Jurassic formations in Kuwait.
用 VSP 数据辅助中东陆地地震数据的 Marchenko 成像技术
内部倍频的衰减干扰给中东盆地的地震数据成像带来了挑战。正如科威特的侏罗纪地层所示,由于地层主要为水平地层,偶尔会出现低凸构造,因此短周期内部倍频很强,与底层储层反射的初频几乎无法区分。为解决内部多重问题,业内最常用的方法是先进行多重预测,然后进行自适应减法。然而,由于初值和复值之间的相似性,应用自适应减法极有可能造成初值振幅破坏,从而妨碍地震数据的定量解释。因此,我们研究了马琴科方法,该方法从地表地震数据中检索格雷函数,用于目标导向成像,而不应用自适应减法。马琴科成像法已在多个海上地震数据集上显示出良好效果,但仍需在陆上应用。为了更好地理解内部倍频的影响并实现 Marchenko 成像,我们对科威特一个油气田的测井、垂直地震剖面(VSP)和地震数据进行了综合分析。此外,我们还利用 VSP 数据对检索到的 Greens 函数进行了交叉检验,并估算了 Marchenko 方法的缩放因子。结果表明:1)油气田中心成像不佳的原因是内部倍频的破坏性干扰;2)覆盖层蒸发岩层之间的内部倍频混响最有可能影响侏罗系储层的地震成像;3)检索到的绿度函数与 VSP 数据记录的绿度函数一致;4)马琴科成像为改善科威特侏罗系地层的地震成像提供了一种方法。
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来源期刊
Geophysics
Geophysics 地学-地球化学与地球物理
CiteScore
6.90
自引率
18.20%
发文量
354
审稿时长
3 months
期刊介绍: Geophysics, published by the Society of Exploration Geophysicists since 1936, is an archival journal encompassing all aspects of research, exploration, and education in applied geophysics. Geophysics articles, generally more than 275 per year in six issues, cover the entire spectrum of geophysical methods, including seismology, potential fields, electromagnetics, and borehole measurements. Geophysics, a bimonthly, provides theoretical and mathematical tools needed to reproduce depicted work, encouraging further development and research. Geophysics papers, drawn from industry and academia, undergo a rigorous peer-review process to validate the described methods and conclusions and ensure the highest editorial and production quality. Geophysics editors strongly encourage the use of real data, including actual case histories, to highlight current technology and tutorials to stimulate ideas. Some issues feature a section of solicited papers on a particular subject of current interest. Recent special sections focused on seismic anisotropy, subsalt exploration and development, and microseismic monitoring. The PDF format of each Geophysics paper is the official version of record.
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