Data-driven pre-stack AVO inversion method based on fast orthogonal dictionary

Wang, Yaojun; Liu, Yu; She, Bin; Hu, Guangmin; Jin, Song

doi:10.1016/j.petrol.2021.108362

Cited by 8 publications

(3 citation statements)

References 25 publications

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“…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). The significant difficulty for the pre-stack inversion is lessening nonuniqueness and instability for the inversion solution (Sun et al, 2023;Wang et al, 2021;Wang and Wang, 2023). The regularization approach, offered initially by Bell (1978) and Doicu et al (2010), is typically employed to enhance the inversion stability.…”

Section: Introductionmentioning

confidence: 99%

“…The regularization approach, offered initially by Bell (1978) and Doicu et al (2010), is typically employed to enhance the inversion stability. Recently, Wang et al (2021) used the dictionary learning algorithm to learn the formation characteristics of elastic parameters from logging data and then took this information as a prior constraint in AVO inversion (Guo et al, 2020;Waqas et al, 2023). Afterward, the sparse representation of the dictionary is employed as preliminary information to constrain AVO inversion (Hosseini Shoar et al, 2014;Kianoush et al, 2023d;Kianoush et al, 2023e;Kianoush et al, 2022a;Kianoush et al, 2023a;Pirhadi et al, 2023;Rashidi et al, 2020;Shakiba et al, 2018;Stork et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…The regularization technique, initially proposed by Bell (1978) and Doicu et al (2010), is commonly used to improve the inversion stability. Recently, Wang et al (2021) used the dictionary learning algorithm to learn the formation characteristics of elastic parameters from logging data and then took this information as a prior constraint in AVO inversion. Then, the sparse representation of the dictionary is used as prior information to constrain AVO inversion.…”

Section: Introductionmentioning

confidence: 99%

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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Multichannel seismic impedance inversion driven by logging–seismic data

Wang

Liu

et al. 2021

Acta Geophys.

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Data-driven pre-stack AVO inversion method based on fast orthogonal dictionary

Cited by 8 publications

References 25 publications

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

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

Multichannel seismic impedance inversion driven by logging–seismic data

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