Sandstone reservoir zonation using conventional core data: A case study of lower cretaceous sandstones, Orange Basin, South Africa

Opuwari, Mimonitu; Kaushalendra, B. Trivedi; Momoh, Abuh

doi:10.1016/j.jafrearsci.2019.02.017

Cited by 11 publications

(8 citation statements)

References 15 publications

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“…An appropriate application of the flow zonation method will result in an accurate permeability estimation, unique permeability-porosity relationship, and more realistic simulation outcomes (Al-Jawad and Saleh, 2020; Khadem et al, 2020;Nabawy and Al-Azazi, 2015;M. Opuwari et al, 2020a;Opuwari et al, 2019;Shalaby, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies on reservoir FU zonation and rock typing in the South African offshore basins were conducted by Opuwari et al (2020a), Opuwari et al (2019), andOpuwari et al (2020b) in the Orange Basin, Pletmos Basin, and the western Bredasdorp Basin. Despite the Bredasdorp Basin having over 200 exploration, production, and appraisal wells drilled, there is a paucity of literature describing reservoir flow characterisation.…”

Section: Introductionmentioning

confidence: 99%

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Sandstone reservoir zonation of the north-western Bredasdorp Basin South Africa using core data

Opuwari

Dominick²

2021

Journal of Applied Geophysics

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sandstone reservoir zonation of the north-western Bredasdorp Basin South Africa using core data

Opuwari

Dominick²

2021

Journal of Applied Geophysics

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“…6 b). Though the plot may successfully group the rocks, the influence of diagenesis and the lithology must be considered 20 , 54 , 55 . Several empirical relationships were established from the Winland r35 pore throat method to estimate permeability from porosity.…”

Section: Resultsmentioning

confidence: 99%

Petrophysical core-based zonation of OW oilfield in the Bredasdorp Basin South Africa

Opuwari

Afolayan

Mohammed

et al. 2022

Sci Rep

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This study aims to generate rock units based on core permeability and porosity of OW oilfield in the Bredasdorp Basin offshore South Africa. In this study, we identified and classified lithofacies based on sedimentology reports in conjunction with well logs. Lucia's petrophysical classification method is used to classify rocks into three classes. Results revealed three lithofacies as A (sandstone, coarse to medium-grained), B (fine to medium-grained sandstone), and C (carbonaceous claystone, finely laminated with siltstone). Lithofacies A is the best reservoir quality and corresponds to class 1, while lithofacies B and C correspond to class 2 and 3, which are good and poor reservoir quality rock, respectively. An integrated reservoir zonation for the rocks is based on four different zonation methods (Flow Zone indicator (FZI), Winland r35, Hydraulic conductivity (HC), and Stratigraphy modified Lorenz plot (SMLP)). Four flow zones Reservoir rock types (RRTs) were identified as RRT1, RRT3, RRT4, and RRT5, respectively. The RRT5 is the best reservoir quality composed of a megaporous rock unit, with an average FZI value between 5 and 10 µm, and HC from 40 to 120 mD/v3, ranked as very good. The most prolific flow units (RRT5 and RRT4 zones) form more than 75% of each well's flow capacities are supplied by two flow units (FU1 and FU3). The RRT1 is the most reduced rock quality composed of impervious and nanoporous rock. Quartz is the dominant framework grain, and siderite is the dominant cement that affects flow zones. This study has demonstrated a robust approach to delineate flow units in the OW oilfield. We have developed a useful regional petrophysical reservoir rock flow zonation model for clastic reservoir sediments. This study has produced, for the first time, insights into the petrophysical properties of the OW oilfield from the Bredasdorp Basin South Africa, based on integration of core and mineralogy data. A novel sandstone reservoir zonation classification criteria developed from this study can be applied to other datasets of sandstone reservoirs with confidence.

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“…6b). Though the plot may successfully group the rocks, the in uence of diagenesis and the lithology must be considered 20,54,55 . Several empirical relationships were established from the Winland r35 pore throat method to estimate permeability from porosity.…”

Section: Winland R35 Rock Typing Modelmentioning

confidence: 99%

Petrophysical Core-Based Zonation of An Oil Field In The Bredasdorp Basin South Africa

Opuwari¹,

Afolanyan²,

Mohammed³

et al. 2021

Preprint

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This study aims to generate rock units based on core permeability and porosity of an oil field in the Bredasdorp Basin offshore South Africa. In this study, we identified and classified lithofacies based on sedimentology reports in conjunction with well logs. Lucia's petrophysical classification method is used to classify rocks into three classes. Results revealed three lithofacies as A(sandstone, coarse to medium-grained), B (fine to medium-grained sandstone), and C (carbonaceous claystone, finely laminated with siltstone). Lithofacies A is the best reservoir quality and corresponds to class 1, while lithofacies B and C correspond to class 2 and 3, which are good and poor reservoir quality rock, respectively. An integrated reservoir zonation for the rocks is based on four different zonation methods (Flow Zone indicator (FZI), Winland r35, Hydraulic conductivity (HC), and Stratigraphy modified Lorenz plot (SMLP)). Four flow zones were identified as high(HFZ), moderate (MFZ), Low (LFZ), and tight (TFZ), respectively. The HFZ is the best reservoir quality composed of a megaporous rock unit, with an average FZI value between 5 to 10µm, and HC from 40 to 120 mD/v3, ranked as very good. The most prolific flow units (HFZ and MFZ zones) form more than 75 % of each well's flow capacities. The TFZ is the most reduced rock quality composed of impervious and nanoporous rock. There appears to be a slight increase of illite in the tight and low zones that block pore throats, thereby decreasing permeability. Therefore, illite has a dominant effect on flow zones. Quartz is the dominant framework grain, and siderite is the dominant cement that affects flow zones. This study has demonstrated a robust approach to delineate flow units in an oilfield. A novel sandstone reservoir zonation classification criteria developed from this study can be applied to other datasets of sandstone reservoirs with confidence.

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Sandstone reservoir zonation using conventional core data: A case study of lower cretaceous sandstones, Orange Basin, South Africa

Cited by 11 publications

References 15 publications

Sandstone reservoir zonation of the north-western Bredasdorp Basin South Africa using core data

Sandstone reservoir zonation of the north-western Bredasdorp Basin South Africa using core data

Petrophysical core-based zonation of OW oilfield in the Bredasdorp Basin South Africa

Petrophysical Core-Based Zonation of An Oil Field In The Bredasdorp Basin South Africa

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