Hydrogeological studies of the Sepidan basin to supply required water from exploiting water wells of the Chadormalu mine utilizing reverse osmosis (RO) method

Kianoush, Pooria; Mahvi, Mohammad Reza; Keshavarz Faraj Khah, Nasser; Kadkhodaie, Ali; Jodeiri Shokri, Behshad; Varkouhi, Shahab

doi:10.1016/j.rines.2023.100012

Cited by 7 publications

(4 citation statements)

References 60 publications

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“…utilizing appropriate rock-physics prototypes (Hosseini Shoar et al, 2014;Kianoush et al, 2022a;Kianoush et al, 2023a). However, the processing velocity often appears overly smooth and unrealistic, as it does not account for seismic amplitudes (Aryafar et al, 2007(Aryafar et al, , 2009Hosseini Shoar et al, 2014;Kianoush, 2005;Kianoush et al, 2024;Mahvi and Kianoush, 2007;Varkouhi et al, 2022;Varkouhi et al, 2021). A need arises to employ pseudo-well techniques to address this limitation and enhance the precision of fluid saturation and distribution estimation in areas with limited or no well log data.…”

Section: Introductionmentioning

confidence: 99%

“…A need arises to employ pseudo-well techniques to address this limitation and enhance the precision of fluid saturation and distribution estimation in areas with limited or no well log data. These techniques provide seismic properties required for estimating fluid (Gong et al, 2023;Kianoush et al, 2024;Salehi et al, 2013;Varkouhi and Wells, 2020). This transition to pseudo-well techniques leads to an essential discussion about pre-stack seismic data inversion (Norbakhsh Razmi et al, 2023;Zhang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…A fully nonlinear inversion is applied to determine the causative body by inverting ground deformations and gravity variations due to pressure and mass anomalies implanted into an elastic medium. Impressive outcomes are in volcanic environments, where ground deformations by seismic sequences are associated with over-pressured magmatic geobodies (Camacho et al, 2020;Cammarata et al, 2018;Cintorrino et al, 2019;Dhawale et al, 2023;Kianoush et al, 2023e;Kianoush et al, 2024;Kianoush et al, 2023b;Kingson et al, 2023;Kwami et al, 2023;Palano et al, 2023;Pirhadi et al, 2023). In this research, a 1-D inversion problem, also known as the pseudo-well problem, has been investigated.…”

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%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Khah,

Salehi,

Kianoush

et al. 2024

Preprint

Self Cite

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“…In addition, in recent years, other clustering methods such as fractal geometry have been used in petroleum exploration, employing the results of seismic geophysics, exploratory geochemical prospecting, and geomechanical studies [4,8,13,19,26,39]. Some recent work by Kianoush, et al [4] used velocity-volume (V-V) cube fractal models to assess the seismic inversion velocity data of the South Azadegan field in SW Iran.…”

Section: Introductionmentioning

confidence: 99%

Employing Statistical Algorithms and Clustering Techniques to Assess Lithological Facies for Identifying Optimal Reservoir Rocks: A Case Study of the Mansouri Oilfields, SW Iran

Eftekhari,

Memariani,

Maleki

et al. 2024

Minerals

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The crucial parameters influencing drilling operations, reservoir production behavior, and well completion are lithology and reservoir rock. This study identified optimal reservoir rocks and facies in 280 core samples from a drilled well in the Asmari reservoir of the Mansouri field in SW Iran to determine the number of hydraulic flow units. Reservoir samples were prepared, and their porosity and permeability were determined by measuring devices. The flow zone index (FZI) was calculated for each sample using MATLAB software; then, a histogram analysis was performed on the logarithmic data of the FZI, and the number of hydraulic flow units was determined based on the obtained normal distributions. Electrical facies were determined based on artificial neural network (ANN) and multi-resolution graph-based clustering (MRGC) approaches. Five electrical facies with dissimilar reservoir conditions and lithological compositions were ultimately specified. Based on described lithofacies, shale and sandstone in zones three and five demonstrated elevated reservoir quality. This study aimed to determine the Asmari reservoir’s porous medium’s flowing fluid according to the C-mean fuzzy logic method. Furthermore, the third and fourth flow units in the Asmari Formation have the best flow units with high reservoir quality and permeability due to determining the siliceous–clastic facies of the rock units and log data. Outcomes could be corresponded to the flow unit determination in further nearby wellbores without cores.

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Development of rheological models depending on the time, temperature, and pressure of wellbore cement compositions: a case study of southern Iran’s exploratory oilfields

Saffari,

Ameri,

Jahangiri

et al. 2024

Arab J Geosci

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Hydrogeological studies of the Sepidan basin to supply required water from exploiting water wells of the Chadormalu mine utilizing reverse osmosis (RO) method

Cited by 7 publications

References 60 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

Employing Statistical Algorithms and Clustering Techniques to Assess Lithological Facies for Identifying Optimal Reservoir Rocks: A Case Study of the Mansouri Oilfields, SW Iran

Development of rheological models depending on the time, temperature, and pressure of wellbore cement compositions: a case study of southern Iran’s exploratory oilfields

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