Seismic reservoir characterization of a deep water sandstone reservoir using hydraulic and electrical flow units: A case study from the Shah Deniz gas field, the South Caspian Sea

Yarmohammadi, Saeed; Kadkhodaie, Ali; Rahimpour‐Bonab, Hossain; Shirzadi, Ahmad

doi:10.1016/j.petrol.2014.04.002

Cited by 22 publications

(3 citation statements)

References 22 publications

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“…We observed permeability variations at similar porosities in some flow zones, attributed to pore type control on fluid flow. It has been reported previously that sandstone samples with similar porosities can have different permeability resulting from the impact of diagenetic overprints on the pore throat radius of sandstones 63 , 64 . Consequently, we used quantitative point-count mineralogy results of well OW3 and OW4 (Table 3 ) to determine mineral types and abundances in different zones that affect reservoir quality, resulting in diagenetic effects on the pore throat radius.…”

Section: Resultsmentioning

confidence: 96%

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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Section: Resultsmentioning

confidence: 96%

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 model system is based on texture and mineralogy which defines similar fluid flow features that is independent of lithofacies. Authors give an equation which is rearranged to isolate the variable that is constant within a unit based on the concept of bundle of capillary tubes [13].…”

Section: Data Analysis Approachmentioning

confidence: 99%

An Integrated Method of Data Mining and Flow Unit Identification for Typical Low Permeability Reservoir Prediction

Yu¹

2019

WJET

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“…In recent years an increasing trend for incorporation of seismic data into petrophysical investigations and interpretations is observed (e.g. Ouenes, 2000;Hampson et al, 2001;Doyen 2007, Kadkhodaie-Ilkhchi et al, 2009, Dezfoolian et al, 2013, Yarmohammadi, et al, 2014Nouri-Taleghani et al, 2015;Nourafkan and Kadkhodaie-Ilkhchi, 2015;Kosari et al, 2015, Golsanami et al, 2015. Through inversion of amplitude based seismic data to acoustic impedance, many geological and petrophysical interpretations can be made.…”

Section: Introductionmentioning

confidence: 99%

Seismic velocity deviation log: An effective method for evaluating spatial distribution of reservoir pore types

Shirmohamadi

Kadkhodaie

Rahimpour‐Bonab

et al. 2017

Journal of Applied Geophysics

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Velocity deviation log (VDL) is a synthetic log used to determine pore types in reservoir rocks based on a combination of the sonic log with neutron-density logs. The current study proposes a two steps approach to create a map of porosity and pore type by integrating the results of petrographic studies, well logs and seismic data. In the first step, velocity deviation log was created from the combination of the sonic log with the neutron-density log. The results allowed identifying negative, zero and positive deviations based on the created synthetic velocity log. Negative velocity deviations (below-500 m/s) indicate connected or interconnected pores and fractures, while positive deviations (above +500 m/s) are related to isolated pores. Zero deviations in the range of [-500m/s, +500m/s] are in good agreement with intercrystalline and microporosities. The results of petrographic studies were used to validate the main pore type derived from velocity deviation log. In the next step, velocity deviation log was estimated from seismic data by using a probabilistic neural network model. For this purpose, the inverted acoustic impedance along with the amplitude based seismic attributes were formulated to VDL.

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Seismic reservoir characterization of a deep water sandstone reservoir using hydraulic and electrical flow units: A case study from the Shah Deniz gas field, the South Caspian Sea

Cited by 22 publications

References 22 publications

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

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

An Integrated Method of Data Mining and Flow Unit Identification for Typical Low Permeability Reservoir Prediction

Seismic velocity deviation log: An effective method for evaluating spatial distribution of reservoir pore types

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