Tectonic Evolution of Jaisalmer Basin (Rajasthan, India)

Pandey, Rajesh K.

doi:10.1002/9781119679998.ch20

Cited by 6 publications

(3 citation statements)

References 34 publications

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“…It is envisaged that nearly 7–8 km of sediments were deposited on the Proterozoic basement in a fluctuating fluvial to shallow marine environment. The basinal dip is very gentle and is mainly towards the north and northwest (NNW) (Khan et al., 2015; Pandey, Kumar, Maurya & Pandey, 2019; Pandey, Kumar, Maurya, et al., 2019). The study area sits on a high with NNW–south and southeast (SSE) en echelon fault systems and some independent closures.…”

Section: Geology Of the Areamentioning

confidence: 99%

A minimalist approach for improved time imaging of a noisy vibroseis data: A case study from Jaisalmer Basin, Rajasthan

Das,

Mukhopadhyay,

Kumar

et al. 2023

Geophysical Prospecting

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Processing land seismic data, especially vibroseis data, is often challenging due to complicated near‐surface situations and source‐generated noise. The case study deals with noisy vibroseis data acquired in the Jaisalmer Basin. The near‐surface estimation in this area is difficult due to a possible velocity reversal manifested in the shingled patterns of the first breaks. The near‐surface workflow incorporates a model‐adaptive first break‐picking approach, essentially integrating two problems of first‐break‐picking and model estimation into a single problem. The signal‐conditioning workflow is based on cascaded scaling and single‐channel‐based noise reduction to prevent the removal of weak signals. Horizon‐based migration velocity analysis was used to focus reflectors on the constant velocity‐migrated stacks. This was particularly useful in areas with dubious velocity trends based on semblance panels. The velocity volume has structural consistency, which provides a better time‐migrated image. The workflow also incorporates a targeted post‐stack processing sequence to enhance continuity, sharpen discontinuities and improve the resolution, as notable by comparing the legacy‐processing results of the same dataset.

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Section: Geology Of the Areamentioning

confidence: 99%

A minimalist approach for improved time imaging of a noisy vibroseis data: A case study from Jaisalmer Basin, Rajasthan

Das,

Mukhopadhyay,

Kumar

et al. 2023

Geophysical Prospecting

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“…Various organic-rich shale formations are recognized as source rocks, such as Lower Goru, Pariwar, Baisakhi-Bedesir shales, and Karampur/Badhaura shales (Pandey et al 2019;Wandrey et al 2004). The Pariwar sandstones, Lower Goru sandstones, and Sanu or Khuiala sandstones of the Late Paleocene and Early Eocene are identified as the reservoir quality of the Jaisalmer Basin (Dwivedi 2016).…”

Section: Geology Of the Study Areamentioning

confidence: 99%

Identification of challenging gas-bearing reservoir based on machine learning (ML) and computed conversion-based AVO analysis: a study from Jaisalmer Sub-basin, India

Pradhan,

Datta Gupta

2023

J Petrol Explor Prod Technol

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Amplitude variation with offset (AVO) analysis is an important tool for identifying natural gas-bearing reservoirs. The changes in seismic amplitudes based on the variation of density and velocity of the rock matrix are captured through the AVO analysis. The current work was performed in the Ghotaru region of the Jaisalmer Sub-basin area, where limited and discrete hydrocarbon discoveries were observed from the Lower Goru Formation during the earlier various exploration campaigns. The discrete nature of the reservoir lithofacies developed challenging scenarios for the successful exploratory campaign. The campaign encountered more difficulties because of limited advanced datasets, which affected the study to capture the extension of hydrocarbon-bearing reservoir lithofacies and its characterization towards a successful exploration campaign. This study shows the way to overcome these challenges using an existing conventional dataset. The study shows the possibility of AVO analysis using a post-stack seismic dataset. A unique conversion method from post-stack to pre-stack seismic is introduced in this study based on the uses of the integrated velocity model. An integrated, robust velocity model was developed with consideration of anisotropy factors. Introducing a machine learning-based algorithm in the petrophysical study, including the conventional approach, provides a robust validation of this work. Intercept (A) and gradient (B) are the basic outcome of AVO analysis. The well-based study and AVO analysis based on intercept (A) and gradient (B) complement each other for finding hydrocarbon-bearing reservoir rock. Cross-plots and AVO analysis show the reservoir's lithofacies extension and fluids. The study reveals the potential of natural gas retained in the Lower Goru Formation, which is composed of patchy sandstone. Two AVO classes (Class I and Class III) of gas-bearing sandstone have been identified in this study. This study presents a unique method for identifying natural gas reservoirs with limited old conventional data.

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“…Oil and Natural Gas Corporation limited (ONGC) with the help of geophysical investigations tool unveiled the episode of four structural units within the Jaisalmer basin, silicet., the raised Mari-Jaisalmer Arch stretching out through the central part of the basin, the synclinal Shahgarh sub-basin to the southwest, the Kishangarh sub-basin to the northeast and the Maijlar sub-basin (Fig. 1C) to the south (Pandey et al, 2010).…”

Section: Geological Settingsmentioning

confidence: 99%

Petrography of Badabagh Member sandstone of Jaisalmer Formation (Western Rajasthan, India): implications for provenance and tectonic setting

Ahmed,

Khan

2023

J. Sediment. Environ.

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Petrographic, and petrofacies investigations were performed on thirty-three samples of medium to ne grained (mostly ne), moderately to well-sorted sandstone from Bathonian Badabagh Member, Jaisalmer Formation, western Rajasthan. The grains are sub-angular to sub-rounded in shape, with some well-rounded quartz grains. The framework composition of sandstone consists mostly of monocrystalline and polycrystalline quartz, low-to high-grade metamorphic and sedimentary rock fragments, as well as subordinate feldspar with low plagioclase to total feldspar ratios and accessory minerals. Petrographic investigations reveal that sandstones from the Badabagh Member of the Jaisalmer Formation are dominantly quartz-arenite with subordinate amount of sub-litharenite to subarkose. The sandstones have abundance of metamorphic and sedimentary rock fragments having former supersede the latter, which derived from a continental block, recycled orogen provenance of quartzose lithic terrains under tropical humid climate as indicated by weathering index which signi es the moderate hills to low plains relief. The majority of the quartz in the sandstones is undulatory, indicating provenance with lower and middle-upper rank metamorphic a nity. Corroboration of palaeocurrent data along with petrographical and sedimentological studies suggests that the Badabagh Member sandstone was predominantly derived from the rocks of Aravalli Delhi Fold Belt (ADFB) and Malani Igneous Suites, which is located to the south and southeast of the basin.

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Tectonic Evolution of Jaisalmer Basin (Rajasthan, India)

Cited by 6 publications

References 34 publications

A minimalist approach for improved time imaging of a noisy vibroseis data: A case study from Jaisalmer Basin, Rajasthan

A minimalist approach for improved time imaging of a noisy vibroseis data: A case study from Jaisalmer Basin, Rajasthan

Identification of challenging gas-bearing reservoir based on machine learning (ML) and computed conversion-based AVO analysis: a study from Jaisalmer Sub-basin, India

Petrography of Badabagh Member sandstone of Jaisalmer Formation (Western Rajasthan, India): implications for provenance and tectonic setting

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