Theoretical evaluation of utilizing rock physics inversion for hybrid models of gas-hydrate distribution in deep water sediments of Oman sea

Yari, Hoda; Nabi-Bidhendi, Majid; Farajkhah, Nasser Keshavarz; Heidari, Reza

doi:10.1016/j.marpetgeo.2023.106315

Cited by 4 publications

(5 citation statements)

References 35 publications

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“…Combining two distribution models in rock physics modeling and inversion processes is theoretically possible. This developed process involved a 2-D marine pre-stack time-migrated (PSTM) seismic line passing through an anticlinal-ridge type-like structure in deep Oman sea sediment (Yari et al, 2022(Yari et al, , 2023. Zeoppritz equations give the exact coefficients for transmission and reflection of a plane wave and its mode converted when incident at an interface between two semi-infinite isotropic and homogeneous layers (Bortfeld, 1961;Yin et al, 2018;Zhang et al, 2018;Zoeppritz and Erdbebnenwellen, 1919).…”

Section: Methodology 21 Elastic Impedance and Avo Theorymentioning

confidence: 99%

“…This method estimates the elastic parameters of geological sediments (compressional velocity (Vp), shear velocity (Vs), and density ()). It is the most common technique for characterizing conventional reservoirs and unconventional prospects such as gas hydrates (Salehi et al, 2013;Salehi et al, 2014;Yari et al, 2023). The changes in the seismic velocities and, as a consequence, in the amount of the BSR's reflection coefficient depend upon both the concentration and distribution modes of the gas hydrate and free gas in the host sediments (Hosseini Shoar et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…de Figueiredo et al (2017) proposed a Bayesian seismic inversion based on a rock-physics relation that accounts for the statistical correlation between porosity and the natural logarithm of acoustic impedance (AI) (Madani et al, 2019;Rashidi et al, 2020;Rashidi et al, 2018). Several pre-stack angle-related attributes based on two different AVA approximations utilizing BSR-vicinity hydrate/gas saturations in the Iranian sector of the Makran Accretionary Prism were estimated (Heydari et al, 2012;Rashidi et al, 2018;Salehi et al, 2013;Yari et al, 2022Yari et al, , 2023. Yan et al (2020) proposed a clonal selection algorithm (CSA) based on the principle.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of elastic properties of sediments utilizing simulated annealing algorithm – a pseudo-wells generation approach

Khah,

Salehi,

Kianoush

et al. 2023

Preprint

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The gas hydrate distribution model containing cement, or un-cement models, considerably affects elastic properties such as shear and bulk modulus. Thus, determining the distribution model in the hydrate-bearing sediments requires decreasing uncertainty in quantitative studies based on seismic velocities. Pre-stack seismic data include additional fluid information than post-stack seismic data, and the pre-stack inversion procedure has influential benefits such as stable outcomes, high resolution, and strong manageability. The amplitude-variation-with-angle (AVA) inversion along the bottom simulating reflector (BSR) utilizing compressional and Shear wave pre-stack analysis could be involved to evaluate hydrate and gas saturations at the pseudo well, especially in accretionary prism structures. It could change unconsolidated sediments' elastic properties and produce sharp bottom simulating. Pseudo-well generation is a title for estimating the elastic parameters of sediments in areas such as deep marine environments where drilled wells are absent (or sparse). This seismic angle-gather inversion problem has complex space and several local and global optimum solutions. In such cases, metaheuristic algorithms are a suitable tool for problem-solving. In this paper, the metaheuristic Simulated Annealing algorithm has been investigated, and the developed optimized algorithm has been presented. In order to analyze the performance of the algorithm, pre-stack seismic data is utilized as a benchmark. The conceptual model of this data includes the elastic parameter logs, which makes it an appropriate option for analyzing the performance and accuracy of the algorithm. According to the results, the generation of pseudo-wells with the algorithm mentioned earlier can be used to characterize hydrates-bearing sediments.

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Section: Methodology 21 Elastic Impedance and Avo Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of elastic properties of sediments utilizing simulated annealing algorithm – a pseudo-wells generation approach

Khah,

Salehi,

Kianoush

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Prestack inversion provides three elastic parameters: compressional and shear wave velocities and density (Yan et al, 2020;Yan et al, 2021;Yin et al, 2008). It is the most common technique for characterizing conventional reservoirs and unconventional prospects such as gas hydrates (Salehi et al, 2013;Salehi et al, 2014;Yari et al, 2023). Pre-stack amplitude variation with offset (AVO) elastic was integrated with a hybrid genetic algorithm performed to solve the elastic parameter of the inversion problem utilized to identify an effective method for petroleum exploration (Wu et al, 2017;Yan et al, 2020;Yan et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Ma (2002) presented a new pre-stack inversion algorithm that used a global simulated annealing optimization to simultaneously evaluate shear and acoustic impedances from P-wave reflection seismic data. Ryden and Park (2006) used the fast simulated annealing (FSA) global search algorithm to underrate the contrast between the calculated phase-velocity spectrum and that estimated from a speculative layer (Heydari et al, 2012;Rashidi et al, 2018;Salehi et al, 2013;Yari et al, 2022Yari et al, , 2023. Shelander et al (2012) and Rastegar et al (2016) presented a hydrate saturation model for generating pseudo-well estimation in the Mexico Gulf by applying conventional 3D seismic data (Salehi et al, 2013;Salehi et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method

Khah,

Salehi,

Kianoush

et al. 2024

Preprint

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The hydrate concentration model considerably affects elastic properties, including bulk and shear modulus. Defining seismic properties of sediments, such as compressional and shear wave velocity and density, provides valuable information to identify rock facies and fluid types. This information commonly results from pre-stack seismic inversion, while post-stack seismic information provides acoustic impedance as a layer-based property. Traditionally, seismic inversion requires well logs to produce an initial guess of inversion routines and provide a low-frequency part of the amplitude spectrum. Eventually, seismic inversion methods could not be performed in the areas without well-log data, such as deep sea areas. In such cases, pseudo-well logs derived from pre-stack seismic data are a solution. Pseudo-well generation is a title used to estimate the elastic parameters of sediments in areas, such as deep marine environments, where drilled wells are absent or sparse. Metaheuristic optimization algorithms are suitable tools for minimizing the cost function as they best match real and synthetic seismic data. In this study, the SEAM earth model has been used as a reference to investigate the quality of pseudo-well generation utilizing a simulated annealing (SA) algorithm as an optimization method of property model change, which minimizes the cost function of seismic inversion. As a result, considering an initial model type of the SEAM model, simultaneous seismic inversion introduced the best compressional and shear wave velocities and density logs, which provide the best real and synthetic seismic data match when synthetic data is calculated from the simplified Zoeppritz equation.

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Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method

Khah,

Salehi,

Kianoush

et al. 2024

Results in Earth Sciences

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Theoretical evaluation of utilizing rock physics inversion for hybrid models of gas-hydrate distribution in deep water sediments of Oman sea

Cited by 4 publications

References 35 publications

Estimation of elastic properties of sediments utilizing simulated annealing algorithm – a pseudo-wells generation approach

Estimation of elastic properties of sediments utilizing simulated annealing algorithm – a pseudo-wells generation approach

Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method

Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method

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