Petro physical analysis of among hydrocarbon field fluid and lithofaciesusing Well Log Data

Inichinbia, S.; Süle, P.; Algouti, Ahmed; Hamza, Halidu; Lawal, K. M.

doi:10.9790/0990-02218696

Cited by 8 publications

(3 citation statements)

References 23 publications

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“…Uncertainties regarding the lateral extent, distribution of reservoir properties (such as porosity, net pay thickness, uid type and uid saturation, etc. ), and fault placements along the reservoirs are additional typical challenges in describing Niger Delta reservoirs (Inichinbia et al 2014;Horsfall et al 2017;Okeugo et al 2018).…”

Section: )mentioning

confidence: 99%

“…As a result, reservoir heterogeneities are the primary cause of low hydrocarbon recovery e ciency. Uncertainties about the lateral extent, distribution of reservoir properties (such as porosity, net pay thickness, uid type and uid saturation, and so on), and fault placements along the reservoirs are also common challenges when describing Niger Delta reservoirs (Inichinbia et al 2014;Horsfall et al 2017;Okeugo et al 2018). This study merges structural interpretation with seismic attribute analysis in an effort to address some of these challenges in order to anticipate and locate hydrocarbon-bearing reservoirs in a eld, Onshore Niger Delta.…”

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confidence: 99%

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Seismic Attribute-Based Characterization of Heterogenous Sand Reservoirs in the Niger Delta Basin, Nigeria

Horsfall,

Akpan

2023

Preprint

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This study successfully predicted the presence of hydrocarbon-bearing reservoirs in an onshore Niger delta field by combining structural interpretation and seismic attribute analysis. Check-shot data, high-quality 3D seismic data, and four wells log data with requisite petrophysical logs were employed. The approach involved identifying various lithologies from gamma ray and resistivity logs, correlating wells, mapping faults and horizons, creating time and depth structure maps, and analyzing seismic. The four wells were correlated across two major sand bodies labeled as Sand A and Sand B. Five faults, designated F1 through F5, were selected based on amplitude distortion. In the 3D seismic volume, two horizons, designated Sand A and Sand B, were also identified with a similar wavelet nature. A NW-SE trending anticlinal structure supported by faults was delineated in the northern part of both reservoirs. Structural highs typically occur in the middle of the field for both reservoirs. For both reservoirs, structural lows may be seen in the northwest of the field. The western regions of both reservoirs are shown by high amplitudes on the RMS amplitude maps. Because Sand B occurs at a deeper depth than Sand A, Sand A has a higher concentration of low amplitudes than Sand B. The hydrocarbon-bearing structures are essentially based on the temporal and depth patterns of the mappable structures for the reservoir tops under examination, and they are mostly fault-dependent in nature. The detected structures and bright spots from seismic amplitude revealed that the Omicron field had good hydrocarbon potential.

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confidence: 99%

Section: )mentioning

confidence: 99%

Seismic Attribute-Based Characterization of Heterogenous Sand Reservoirs in the Niger Delta Basin, Nigeria

Horsfall,

Akpan

2023

Preprint

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“…Petrophysical analysis deals with the properties of porous media such as: porosity, permeability, water saturation, fluid identification, resistivity, shalyness particularly in reservoir rock and contained fluids (Inichinbia et al 2014). These properties and their relationship are generally used to identify and assess reservoir rock, source rock and cap rock.…”

Section: Petrophysical Analysismentioning

confidence: 99%

Petrophysical evaluation of well log data and rock physics modeling for characterization of Eocene reservoir in Chandmari oil field of Assam-Arakan basin, India

Kumar

Dasgupta

Singha

et al. 2017

J Petrol Explor Prod Technol

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Petrophysical evaluation of well log data has always been crucial for identification and assessment of hydrocarbon bearing zones. In present paper, petrophysical evaluation of well log data from cluster of six wells in the study area is carried out in combination with rock physics modeling for qualitative and quantitative characterization of Eocene reservoir in Chandmari oil field of Assam-Arakan basin, India. Petrophysical evaluation has provided the estimation of fluid and mineral types, rock/pore fabric type and fluid and mineral volumes for invaded and virgin zones. Calibrations are made where core data were available. Rock physics study is carried out for analyzing the influence of porosity, mineral compositions and saturation variations on the elastic properties of the subsurface. The rock physics modeling allowed quantitative prediction of relationship between porosity, saturation (gas, oil and water), clay volume and the elastic properties. Cross-plots of different elastic parameters are generated to identify the lithology variability and pore-fluid type, and to establish likely distinction between the hydrocarbon bearing sands, brine sands and shale. The Eocene reservoirs are found to be primarily sandstone intermixed with incidental clay matrix and some calcareous cementation. Sands are interpreted to be continuous in most of the blocks. The effective porosity for these sands varies from 15 to 22% in most of the wells. A wide range of variation is observed in water saturation with lowest being 5%. Finally, a numerical rock physics model is prepared to predict the elastic properties of the rock from petrophysical properties.

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Well log data analysis for lithology and fluid identification in Krishna-Godavari Basin, India

Das

Chatterjee

2018

Arab J Geosci

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Petro physical analysis of among hydrocarbon field fluid and lithofaciesusing Well Log Data

Abstract: Petrophysical imaging of two reservoirs of Amangi hydrocarbon field of the Niger Delta of

Cited by 8 publications

References 23 publications

Seismic Attribute-Based Characterization of Heterogenous Sand Reservoirs in the Niger Delta Basin, Nigeria

Seismic Attribute-Based Characterization of Heterogenous Sand Reservoirs in the Niger Delta Basin, Nigeria

Petrophysical evaluation of well log data and rock physics modeling for characterization of Eocene reservoir in Chandmari oil field of Assam-Arakan basin, India

Well log data analysis for lithology and fluid identification in Krishna-Godavari Basin, India

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