Abbas Mamudu

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Sabu K.K.

Jawaharlal Nehru Tropical Botanical Garden and Research Institute

Oleg Yu Vorobyev

Siberian Federal University

Andrew Hessel

Singularity University

Raquel Amanda Villamizar Gallardo

Universidad de Pamplona

Mohammad Hossein Karimi-Jafari

University of Tehran

Dr. asef iqbal muhammed

Milliya Arts, Science and Management Science College, Beed

Minesh Jethva

International Center for Genetic Engineering and Biotechnology

Sabina Passamonti

Università degli Studi di Trieste

Dr. James Doughari Hamuel

Federal University of Technology, Yola

امال محمود

University of Sadat City

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Papers by Abbas Mamudu

An integrated model to investigate optimized CO2 utilization and risk mitigation in offshore hydrocarbon reservoirs

Geoenergy Science and Engineering, Feb 29, 2024

A maiden edition of AUSTECH 2015 International Conference Book of Abstracts

This maiden edition of the “Book of Abstracts” contains the abstracts of the various presentation... more This maiden edition of the “Book of Abstracts” contains the abstracts of the various presentations in the 2015 AUSTECH International conference by distinguished professors in the fields of Computer Science, Materials Science & Engineering and Petroleum Engineering. Each field as a track has different activities which includes poster presentations, PhD paper contests, technical sessions and panel discussions. These presentations were done by distinguished experts in the field from within Nigeria and across the globe. AUSTECH is an annual event by AUST. It focuses on current developments in Engineering technologies, scientific and industrial applications for development in Sub-Saharan Africa.

An Extension of Johnson, Bossler and Neumann JBN Method for Calculating Relative Permeabilities

Development of Composite Solid Fuel from Charcoal and Saw Dust for Maximum Emission Reduction

Journal of Environmental and Analytical Toxicology, 2016

J o u rn al of En v ir o n m en tal & A n a ly ti c al Toxico lo g y

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A hybrid connectionist enhanced oil recovery model with real-time probabilistic risk assessment

Geoenergy Science and Engineering, Aug 1, 2023

Evaluation of optimum surfactant concentration needed for Niger delta oil recovery in Nigeria

International Journal of Petroleum Engineering, 2016

This paper presents laboratory analysis of optimum surfactant concentration needed for Niger delt... more This paper presents laboratory analysis of optimum surfactant concentration needed for Niger delta oil recovery in Nigeria. Eight experiments were carried out on a crude sample from the field with different surfactant concentrations to water (0.1%, 0.3%, 0.5%, 0.7%, 0.9%, 1.1%, 1.3%, 1.5% surfactant) using glass beads to simulate the actual field process. Brine saturation, oil saturation, water flooding, surfactant flooding and polymer flooding were done for each of the eight experiments performed and the resulting recoveries were analysed and compared. Then, the optimum surfactant concentration was identified. The results show that 0.9% surfactant concentration is the optimum concentration needed for flooding in this field. Any concentration more than or less than 0.9% would yield less than the optimum recovery. It would be uneconomical to maintain a surfactant concentration higher than 0.9%. Recovery does not necessarily increase with increasing surfactant concentration in the mobilising slug. The field operators in this field are hereby advised to consider 0.9% surfactant concentration.

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A Knowledge-Driven Model to Assess Inherent Safety in Process Infrastructure

Safety, Jun 1, 2023

This article is an open access article distributed under the terms and conditions of the Creative... more

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A Knowledge-Driven Model to Assess Inherent Safety in Process Infrastructure

Safety

Process safety has drawn increasing attention in recent years and has been investigated from diff... more Process safety has drawn increasing attention in recent years and has been investigated from different perspectives, such as quantitative risk analysis, consequence modeling, and regulations. However, rare attempts have been made to focus on inherent safety design assessment, despite being the most cost-effective safety tactic and its vital role in sustainable development and safe operation of process infrastructure. Accordingly, the present research proposed a knowledge-driven model to assess inherent safety in process infrastructure under uncertainty. We first developed a holistic taxonomy of contributing factors into inherent safety design considering chemical, reaction, process, equipment, human factors, and organizational concerns associated with process plants. Then, we used subject matter experts, content validity ratio (CVR), and content validity index (CVI) to validate the taxonomy and data collection tools. We then employed a fuzzy inference system and the Extent Analysis ...

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Recovery of Lead (II) Ions from Aqueous Solutions Using G-26 and MTS9570 Resins with Sulfonic/Phosphonic Functional Groups

Minerals, Oct 18, 2022

This article is an open access article distributed under the terms and conditions of the Creative... more

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Offshore oil and gas development in remote harsh environments: engineering challenges and research opportunities

Safety in Extreme Environments

Logic-based data-driven operational risk model for augmented downhole petroleum production systems

Computers & Chemical Engineering

Application of Cubic Spline Numerical Modeling on Displacement Mechanism

Estimation of incremental oil recovered in a successful enhanced oil recovery (EOR) project has a... more Estimation of incremental oil recovered in a successful enhanced oil recovery (EOR) project has always been done over the years using already established formulae, undermining substantially some inherent challenges. To address some of these posed shortcomings, however, necessitates the need to model the EOR curve. This research paper presents the formulation and application of a highly sophisticated numerical model to model the incremental oil recovery curve in order to obtain improved values of the incremental oil recovered . Rate-time curves from laboratory data for surfactant and polymer flooding were used. The methodology used was cubic spline numerical modeling. "OUR" algorithm was used as the solution method to tridiagonal system of equations formed. Different and continuous equations were derived for each interval between successive data points (knots) and then joined together piecewise to form the composite equation to represent the EOR process. The incremental oil...

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

Risk Analysis, 2021

This study presents a connectionist model for dynamic economic risk evaluation of reservoir produ... more 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.

Dynamic risk modeling of complex hydrocarbon production systems

Process Safety and Environmental Protection, 2021

Abstract This study presents a dynamic risk modeling strategy for a hydrocarbon sub-surface produ... more Abstract This study presents a dynamic risk modeling strategy for a hydrocarbon sub-surface production system under a gas lift mechanism. A data-driven probabilistic methodology is employed to conduct a risk analysis. The integrated approach comprises a multilayer perceptron (MLP) – artificial neural network (ANN) model and a Bayesian network (BN) technique. The MLP-ANN model performs the production forecast, and the BN model analyzes dynamic risks (the production response) and evaluates the impact of the sand face pressure on risks. The introduced model offers an effective strategy to avoid production failure and to monitor dynamic risks. The dynamic risk analysis yields predictive outcomes at any production time in the well’s production life. It offers field operators an early warning system based on the Bayesian model with prognostic capabilities. The proposed strategy effectively manages production risks and assists in production decision-making, especially in complex production systems.

A hybrid intelligent model for reservoir production and associated dynamic risks

Journal of Natural Gas Science and Engineering, 2020

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Dynamic risk assessment of reservoir production using data-driven probabilistic approach

Journal of Petroleum Science and Engineering, 2019

Abstract Oil and gas companies use the reservoir simulation approach to history match and forecas... more Abstract Oil and gas companies use the reservoir simulation approach to history match and forecast reservoir production. While this strategy is easy and often effective, it has inherent setbacks, including a limited ability to capture temporal and spatial variability of the data, uncertainty in the data and reservoir models, and most importantly, impacts of these factors/parameters on the overall production risk profile. This paper presents a hybrid method to forecast the production rate and risks attributed to oilfield development. The hybrid connectionist strategy integrates a data-driven model to capture variability with a probabilistic model to capture uncertainties and associated risks. The multilayer perceptron artificial neural network (ANN) is built on the basis of geological realizations and used as a substitute for the commercial simulator (e.g., CMG) to model reservoir production behaviour for the effective facilitation of the production prediction. The model has a generalization capability and captures the temporal-spatial dependency and non-linear complex relationships. The Bayesian network model is developed to assess the production risks. It employs the concept of the early warning index system. The results show that the predicted oil production profile closely matches the history matched data from the simulator, and the assessed dynamic risks conform with the field reality. The hybrid modeling strategy leads to the minimum and average percentage errors of 0.02% and 5.28% respectively in the reservoir production forecast. The application of the proposed approach would assist in effective reservoir management decision making, enabling a risk-based optimal field performance of reservoir.

Comparative Approach to Relative Permeability Predictions

Nigeria Annual International Conference and Exhibition, 2017

Based on Welge's solution of the flow equation, a method (JBN technique) to calculate the ind... more Based on Welge's solution of the flow equation, a method (JBN technique) to calculate the individual phase relative permeabilities from displacement data was developed for the first time in 1959. It's the most commonly used data reduction method for obtaining relative permeability relationships from unsteady state data. Similar to the Welge method, differentiation of data is required and negligible capillary end effects are assumed when using the JBN method. To apply the JBN method, information on pore volumes of fluids injected and produced, the pressure drop across the porous medium and fluid viscosities is needed. This method generally gives relative permeabilities over a fairly small saturation range, which varies depending on the relative mobilities of the flowing fluids. In order to improve the results of this method, many researchers have come up with different techniques in their JBN analysis including the cubic spline numerical modeling technique (CSNMT) discussed i...

Comparative Studies of the Performance of ASP Flooding on Core Plugs and Beadspacks

SPE Nigeria Annual International Conference and Exhibition, 2016

In this work, we present extensive study of Alkaline-Surfactant-Polymer (ASP) flooding in reducti... more In this work, we present extensive study of Alkaline-Surfactant-Polymer (ASP) flooding in reduction of residual oil saturation in both core plugs and heterogeneous beads-packs. During the ASP flooding of the core plugs, the effectiveness of the ASP flooding EOR technique on a typical Niger Delta reservoir core and other model cores and the determination of the rock properties that most affect the displacement efficiencies of the processes were analyzed. And in the beads-pack flood test, the potential of the ASP slug for oil recovery, the effect of heterogeneity on the oil recovery efficiency of the process and the investigation of the displacement efficiency of Hengfloc in ASP slug for recovery of Niger Delta oil were all analyzed. Finally, the performance in both was comparatively examined. In the ASP Flooding for beadspack, four different beadspack labeled as W, X, Y and Z were used in the experiment. For core flood test, four different core samples termed A1, B1 T1 and R1 used. F...

Fractional Wettability Effects on Surfactant Flooding for Recovering Light Oil Using Teepol

SPE Nigeria Annual International Conference and Exhibition, 2016

The fractional or mixed wettability of porous media has been recognized as ubiquitous condition i... more The fractional or mixed wettability of porous media has been recognized as ubiquitous condition in the petroleum literatures. Fractional wettability refers to the fraction of the total pore surface area which is preferentially water or oil-wet. And this wetting condition of a reservoir rock plays a significant role in determining the oil recovery This paper presents laboratory analysis of the effect of wettability alteration on recovery mechanism and the effects of Teepol at different wettability conditions using a glass beads-pack. Oil wet condition was established by the use of kerosene and other fractional wettability conditions were also established. Six experiments were performed. In all the experiments, imbibition, drainage, water flooding, surfactant flooding and polymer flooding were carried out on the porous medium. 0.7PV surfactant solution (teepol) at a concentration of 0.9%wt and 1.1PV polymer solution (gum Arabic) at 5%wt concentration were used. In experiment A, B, C, ...

Analysis of ASP Flooding in a Shallow Oil Reservoir in the Niger Delta

SPE Nigeria Annual International Conference and Exhibition, 2016

ASP flooding has been most pertinent among the chemical IOR techniques because it has proven most... more ASP flooding has been most pertinent among the chemical IOR techniques because it has proven most promising depending on the candidate reservoir. This paper presents the studies of the applicability of ASP flooding in depleted reservoirs in the Niger Delta and reservoirs of similar geologic formation for reasonable incremental oil recovery. The rate of recovery of oil from the reservoir using four different core samples (A, B, T and R) as well as the displacement efficiencies of all four core samples were comparatively analyzed. The fluid flow mechanism of ASP flooding to economically mobilize the residual oil through analyzing production performance was studied. Oil of API gravity of 42.86 degrees and viscosity of 2.5cp and core samples from a Niger delta field were used. 1% wt of NaOH, 0.15% wt of Shell Enordet 0242 and 0.02% wt of Hengfloc 63020 were the alkali, surfactant and polymer used respectively. A sequence of experimental procedure of brine saturation, oil saturation, wat...