Improved identification of pay zones through integration of geochemical and log data: A case study from Upper Assam basin, India

Mathur, Neeraj; Raju, S.V.; Kulkarni, T.G.

doi:10.1306/8626c7cb-173b-11d7-8645000102c1865d

Cited by 8 publications

(2 citation statements)

References 15 publications

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“…The basin evolved as a passive margin platform with a history of the extension and normal faulting (Kent & Dasgupta, 2004; Mathur et al, 2001; Murty, 1984). The convergence of the Indian Plate and the Eurasian Plate, along with the collision by the Burmese Plate, endorsed intense flexure and complex structure in the central basement of the Upper Assam Basin, generating several basement highs and lows (Borgohain et al, 2017; Kumar et al, 2023) (Figure 1).…”

Section: Discussionmentioning

confidence: 99%

Appraisal of reservoir porosity using a machine learning approach: A study from the Eocene‐Miocene interval of Upper Assam Basin, NE, India

Kumar,

Sain

2023

Geological Journal

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Porosity estimation is essential for the exploration of hydrocarbons in sedimentary basins, which are affected by several factors such as the burial depth, lithology changes, sedimentary environment and diagenetic degree. Hence, detailed understanding of reservoir porosity is essential for estimating potential economic reserves and developing an explored hydrocarbon field. The present study uses high‐quality three‐dimensional (3D) seismic reflection data to decipher the porous zones within the Eocene‐Oligocene‐Miocene intervals of the Upper Assam Basin. The coherency seismic attribute has brought out several fault‐bounded structures that control the reservoir geometry. Random forest‐based machine learning technique has been utilized for the porosity estimation within the formations of interest. It is observed that the north‐east (NE) parts of the targeted intervals are porous with varying porosity of 0.28–0.42. The Miocene period witnessed a high amount of sedimentation within the basin. Different structural highs and thicknesses are pronounced in the NE part of the study region. Thus, the Miocene intervals are favourable leads for the exploitation of hydrocarbons.

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Section: Discussionmentioning

confidence: 99%

Appraisal of reservoir porosity using a machine learning approach: A study from the Eocene‐Miocene interval of Upper Assam Basin, NE, India

Kumar,

Sain

2023

Geological Journal

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“…The overburden Palaeogene–Neogene–Quaternary deposits comprise of the Lakadong, Prang and Narpuh Formations (Palaeocene to Mid‐Eocene), Kopili Formation (Upper Eocene), Barail Formation (Oligocene), Tipam and Girujan Formations (Miocene), Namsang and Dhekiajuli Formations (Pliocene to Pleistocene) and the alluvium cover (Pleistocene to Recent). The lithological composition of these deposits consists of limestone, alternate shale‐coal, intercalated sands, sandstone and thick alluvium cover (Mandal & Dasgupta, 2013; Mathur et al, 2001; Sahoo & Gogoi, 2009; Sahoo & Gogoi, 2011; Wandrey, 2004). The Oligocene to Upper Miocene period witnessed southward tilt of the basin (Mandal & Dasgupta, 2013; Nandy, 2017).…”

Section: Geological Settings Of the Basinmentioning

confidence: 99%

Delineation of oil–water contact within Tipam reservoir: A study from Upper Assam Basin, North‐East India

Kumar

Sain

2023

Geological Journal

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Fluid contacts within a reservoir can vary either because of compartmentalization by faults, lithological variations, hydrocarbon fill history or changes in the hydrodynamic activity of fluids. Their detailed interpretation is significant for estimating potential reserves and developing an explored hydrocarbon field. This study uses high‐quality three‐dimensional (3D) seismic reflection data to decipher the fluid contact zones and their types from the well‐known Tipam reservoir in the petroliferous Upper Assam foreland basin. Different seismic attributes are used to understand the seismic response of fluids and associated structures that structurally control the reservoir geometry. Fluid contact analysis is performed by amalgamating these responses within the target interval. The analysis indicates that the south‐west part of the reservoir is a promising hydrocarbon‐bearing zone and consists of oil–water contacts. These contacts possess a dominant trend of NE–SW within the reservoir. Further, a decreasing trend in the density, velocity and an increasing trend in the resistivity and porosity logs of the wellbore SC‐2 calibrates these inferences and confirms the presence of oil‐bearing zones underlain by water in the SW part of the Tipam reservoir. Thus, the Upper Assam foreland basin is a promising area for hydrocarbon exploration, in which Mid‐Miocene sequences are the potential leads that can be unlocked. The analysis presented through this research could be efficiently and similarly carried out in onshore basins worldwide.

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Tectonic instability of the petroliferous upper Assam valley (NE India): A geomorphic approach

Gogoi¹,

Gogoi

Mukherjee

2022

J Earth Syst Sci

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Improved identification of pay zones through integration of geochemical and log data: A case study from Upper Assam basin, India

Cited by 8 publications

References 15 publications

Appraisal of reservoir porosity using a machine learning approach: A study from the Eocene‐Miocene interval of Upper Assam Basin, NE, India

Appraisal of reservoir porosity using a machine learning approach: A study from the Eocene‐Miocene interval of Upper Assam Basin, NE, India

Delineation of oil–water contact within Tipam reservoir: A study from Upper Assam Basin, North‐East India

Tectonic instability of the petroliferous upper Assam valley (NE India): A geomorphic approach

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