Preliminary structural and stratigraphic assessment of an onshore field for CO2 re-injection in the Niger Delta Basin, Nigeria

Umar, Bappah Adamu; Gholami, Raoof; Shah, Afroz Ahmad; Nayak, Prasant

doi:10.1016/j.jngse.2019.102919

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…The analyzed dynamic risk is space‐ and time‐dependent to replicate the reservoir flow system. It is a complex, porous, permeable, and saturated subsurface geologic structure/entrapment with hydrocarbons under a distinct pressure gradient (Mamudu, 2016; Mamudu & Olafuyi, 2016; Olafuyi & Mamudu, 2015; Umar, Gholami, Shah, & Nayak, 2019). The economic risks/losses assessment is evidence‐based.…”

Section: Methodsmentioning

confidence: 99%

A Connectionist Model for Dynamic Economic Risk Analysis of Hydrocarbons Production Systems

et al. 2021

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This study presents a connectionist model for dynamic economic risk evaluation of reservoir production systems. The proposed dynamic economic risk modeling strategy combines evidence‐based outcomes from a Bayesian network (BN) model with the dynamic risks‐based results produced from an adaptive loss function model for reservoir production losses/dynamic economic risks assessments. The methodology employs a multilayer‐perceptron (MLP) model, a loss function model; it integrates an early warning index system (EWIS) of oilfield block with a BN model for process modeling. The model evaluates the evidence‐based economic consequences of the production losses and analyzes the statistical disparities of production predictions using an EWIS‐assisted BN model and the loss function model at the same time. The proposed methodology introduces an innovative approach that effectively minimizes the potential for dynamic economic risks. The model predicts real‐time daily production/dynamic economic losses. The connectionist model yields an encouraging overall predictive performance with average errors of 1.954% and 1.957% for the two case studies: cases 1 and 2, respectively. The model can determine transitional/threshold production values for adequate reservoir management toward minimal losses. The results show minimum average daily dynamic economic losses of $267,463 and $146,770 for cases 1 and 2, respectively. It is a multipurpose tool that can be recommended for the field operators in petroleum reservoir production management related decision making.

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Section: Methodsmentioning

confidence: 99%

A Connectionist Model for Dynamic Economic Risk Analysis of Hydrocarbons Production Systems

et al. 2021

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“…Nigeria is characterized by multiple geologic formations having different stratigraphy and mineralogy [40][41][42][43][44] . Therefore, groundwater in Nigeria is expected to vary with the natural geogenic processes and land use.…”

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confidence: 99%

Reassessing Groundwater Potentials and Subsurface water Hydrochemistry in a Tropical Anambra Basin, Southeastern Nigeria

et al. 2020

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This review presented a detailed re-assessment of the hydrogeology and hydrochemistry of the Tropical Anambra Basin. It identified and discussed the major geological formations and their groundwater potentials. The geological examination showed that the Ajali Formation is confined in places forming an artesian condition; the potentials of this aquifer decline in the western basin due to a decrease in thickness. The sandstone associates of the Nsukka Formation are aquiferous and have produced high-pressure artesian boreholes along the Oji River. The Imo Shale is characterized by permeability stability all over much of the intermediate unit. The Bende-Ameki aquifer has a lesser amount of groundwater when equated to other formations; the geologic characteristics do not produce favorable hydrogeological conditions for groundwater occurrence. The stratigraphical and structural framework suggested the presence of an efficient throughflow in the basin. Based on physical and chemical parameters of water quality, the basin holds water of acceptable quality. While there are considerable investigations on the hydrogeology and hydrochemistry, studies are short of analysis of the hydrogeochemical evolution of groundwater, water quality index, heavy metals pollution index as well as total hazard quotient. Suitability of groundwater based on agricultural water quality indices (e.g. SAR) is also salient. Therefore, future studies should address these owing to increasing dependence on groundwater.

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3D structural and stratigraphic characterization of X field Niger Delta: implications for CO2 sequestration

Yahaya‑Shiru

Igwe

Obafemi

2021

J Petrol Explor Prod Technol

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Carbon capture and sequestration technology has been a ground-breaking tool in tackling carbon dioxide (CO2) emissions worldwide but has limitedly been researched and practised in Africa at present. Considering the vast growth and developmental level in the continent, there is a need to consider this option of mitigating global climate change. In this study, a systematic and process-based incorporation of seismic and well logs datasets was used to characterize the structural and stratigraphic framework of sandstone reservoirs within the field in order to determine their capacities for effective CO2 sequestration. Petrophysical analysis, fault modelling as well as geostatistical techniques were used to build facies and property models which enabled a qualitative assessment of the sealing potential of faults associated with the reservoirs based on prediction of key properties such as shale gouge ratio, lithological juxtaposition, fault permeability and fault transmissibility across the fault faces. Nine water-bearing sandstone reservoirs (reservoirs A–J) with varying reservoir quality were identified in the field. The dominance of high SGR, low permeability, higher fault throws and low fault transmissibility values at the lower parts of the faults indicates the deeper structural traps of the field are low-risk zones and might serve as good storage areas for CO2.

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Preliminary structural and stratigraphic assessment of an onshore field for CO2 re-injection in the Niger Delta Basin, Nigeria

Cited by 6 publications

References 20 publications

A Connectionist Model for Dynamic Economic Risk Analysis of Hydrocarbons Production Systems

A Connectionist Model for Dynamic Economic Risk Analysis of Hydrocarbons Production Systems

Reassessing Groundwater Potentials and Subsurface water Hydrochemistry in a Tropical Anambra Basin, Southeastern Nigeria

3D structural and stratigraphic characterization of X field Niger Delta: implications for CO2 sequestration

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