A5020644012- Drilling and Well Engineering
- Oil and Gas Production Techniques
- Tunneling and Rock Mechanics
- Reservoir Engineering and Simulation Methods
- Hydraulic Fracturing and Reservoir Analysis
- Diabetes Management and Research
- Rock Mechanics and Modeling
- Infrastructure Maintenance and Monitoring
- Healthcare Systems and Public Health
- Market Dynamics and Volatility
- Mineral Processing and Grinding
- Fiscal Policy and Economic Growth
- Water resources management and optimization
- Energy, Environment, Economic Growth
- Venous Thromboembolism Diagnosis and Management
- S100 Proteins and Annexins
- Geophysical Methods and Applications
- Energy, Environment, and Transportation Policies
- Diabetes Treatment and Management
- COVID-19 Clinical Research Studies
- Natural Products and Applications
- Constructed Wetlands for Wastewater Treatment
- Protease and Inhibitor Mechanisms
- Wastewater Treatment and Reuse
- Metabolism, Diabetes, and Cancer
Australian College of Kuwait
2018-2024
University of Michigan–Ann Arbor
2022-2023
Kingsley House
2022
Robert Gordon University
2021
Schlumberger (United Kingdom)
2012
Baker Hughes (United States)
2007
Abstract With the increase in environmental awareness across oil and gas industry along with strict regulations related to drilling waste management, different practices have been applied reduce impact of on environment such as slim-hole drilling, effective solid control equipment, friendly fluid additives. The main objective these techniques is volume disposed contaminated drill cuttings, therefore, reducing both cost handling. This paper investigates feasibility using bio-degradable an A...
Abstract This paper examines the application of mechanical specific energy optimisation techniques in cost reduction through prediction optimum ROP using real-time drilling parameters data and intrinsic formation acquired during actual process. In fields where offset well exist accurate field penetration rate benchmark can be established aiding Optimisation. recent times, global number deep water wells drilled has risen with oil price, however growth is patchy spending on rising rapidly....
Background Venous thromboembolism (VTE) contributes significantly to COVID-19 morbidity and mortality. The urokinase receptor system is involved in the regulation of coagulation. Levels soluble plasminogen activator (suPAR) reflect hyperinflammation are strongly predictive outcomes COVID-19. Whether suPAR levels identify patients with at risk for VTE unclear. Methods Results We leveraged a multinational observational study hospitalized D-dimer measured on admission. In 1960 (mean age, 58...
Abstract Drilling operations generate CO2 emissions from diesel fuel used to power generators and other equipment on drilling rigs as extraction activities create around 10-15% of total energy-related globally, an equivalent 5 billion tonnes greenhouse gas emissions. Improving operational efficiency is crucial for reducing overall combating climate change. Therefore, recognizing more efficient approaches solutions with reduced carbon footprints essential in creating future business...
The United Nations Sustainable Development Goals’ (UN SDGs) action call promotes worldwide social, environmental, and economic prosperity. Each country developed a local plan to achieve the SDGs’ objectives targets. UN presents an annual global SDG progress report, based on international indicator framework regional available data. Wetland ecosystems contribute SDGs; however, more research is required evaluate wetlands’ impact sustainable development. This study investigates how implementing...
Oil spills are a very dangerous occurrence for the marine ecosystem as life-form's existence gets unnecessarily threatened. Since exploration of oil from resources has become must and end up occurring accidentally, result, it becomes important to employ various spill cleanup methods. The purpose current work was evaluate sorption capacity dried carbonized avocado peel (AP) waste. AP under sun microwaved have activated carbon AP. In this study, batch adsorption studies were conducted remove...
Abstract The growing global energy demand and strict environmental policies motivate the use of technology performance improvement techniques in drilling operations. In traditional method, effort time required to optimize depend on effectiveness human driller selecting optimal set parameters improve system performance. Although existing work has identified significance upscaling from manual autonomous system, little been done support this transition. paper, predictive optimization model is...
Abstract The worst-case discharge during a blowout is major concern for the oil and gas industry. Various two-phase flow patterns are established in wellbore incident. One of challenges field engineers accurately predicting pattern and, subsequently, pressure drop along to successfully control well. Existing machine learning models rely on instantaneous liquid hold-up measurements that not readily available field. This study aims develop novel machine-learning model predict wide range...
Abstract Fossil fuel energy dominate the world mix and plays a fundamental role in our economy lifestyle. Drilling of wellbore is only proven method to extract hydrocarbon reserves, an operation which both highly hazardous capital intensive. To optimize drilling operations, developing high fidelity autonomous downhole system that self-optimizing using real-time parameters able precisely predict optimal rate penetration essential. Optimizing input parameters; surface weight on bit (WOB),...
The growing global energy demand and strict environmental policies, motivates the use of technology performance improvement techniques in drilling operations. In traditional method, parameter optimization depends on effectiveness human-driller. Although existing work has identified significance upscaling from manual to autonomous system, but little been done support this transition. This presents models for an rotary controlled by a self-tuning, multivariant controller that uses machine...
Abstract Drilling is one of the most crucial operations due to its economic implications for hydrocarbon exploration and production. Optimizing a drill-bit design process parameters can enhance rate penetration well integrity, leading more efficient drilling operations. Nevertheless, certain operating downhole conditions aggravate working drill bit. When drillbit properties cannot withstand these conditions, it results in wear failure. This paper presents application forensic analysis...
Abstract Petrophysical estimation of rocks are carried out for lithologic characterization and to quantify the reservoir hydrocarbon prospects. During drilling operation, continuous recording well log data is performed using Logging Whilst Drilling (LWD) tools sometimes LWD tool failure results in loss especially when decision was made drill ahead due project economics resulting gaps or unrecorded data. This study aimed at Machine Learning (ML) techniques predicting missing offsets detailed...
Abstract Industry growth is currently characterized by the migration of cutting edge technologies from regions traditionally used as proving grounds (eg North Sea, GoM) to emerging markets such West Africa, Russia and Caspian. There are many challenges successful deployment complicated new in these areas including logistics a lack infrastructure access experienced work force. This paper aims describe development implementation centralized support center, processes developed enhance local...
This study examined effects of oil (crude and premium motor spirit (PMS)) price fluctuations on ination rate in Nigeria using annual time series data spanning from 1980 to 2023.Augmented Dickey Fuller (ADF) test was used for unit root avoid spurious regression estimates. In addition, the employed Nonlinear Autoregressive Distributed Lag Model (NARDL) Bound within ARDL framework capture asymmetries rate. The further Granger causality assess causal relationship among variables. NARDL...
Abstract Wellbore instability is the most significant incident during drilling of production sections wells. Common problems such as wellbore collapse, tight hole, mechanical sticking, cause major delays in time due to extended reaming and sidetracking worst-case scenario. Geomechanical property rock Unconfined Compressive Strength (UCS) affects stability, performance formation in-situ stresses estimation. Conventional methods used estimate UCS requires either laboratory experiments or...
Abstract In meeting the world's climate-change goals, oil and gas industry will have to play a significant part, although specific initiatives chosen reduce emissions may vary, re-engineering waste products that contribute carbon emission into useful recyclable for can significantly developing circular economy sustainable environment. This study considered recycling finely ground auto-tire rubber as an effective drilling fluid additive. Waste tire, which is major air pollutant when burned,...
Abstract Rate of penetration is an important parameter in drilling performance analysis. The accurate prediction rate during well planning leads to a reduction capital and operating costs which vital given the recent downturn oil prices. industry seen embrace use novel technologies artificial intelligence its bid be sustainable why this study focuses on intelligent models predicting penetration. predictive three data-driven [artificial neural network (ANN), extreme learning machine (ELM)...
Abstract This paper presents the development of predictive optimization models for autonomous rotary drilling systems where emphasis is placed on shift from human (manual) operation as driving force drill rate performance to Quantitative Real-time Prediction (QRP) using machine learning. The methodology employed in this work uses real-time offset data with learning accurately predict Rate Penetration (ROP) and determine optimum operating parameters improved performance. Two (physics-based...
Industry growth is currently characterized by the migration of cutting edge technologies from regions traditionally used as proving grounds (eg North Sea, GoM) to emerging markets such West Africa, Russia and Caspian.There are many challenges successful deployment complicated new in these areas including logistics a lack infrastructure access experienced work force.This paper aims describe development implementation centralized support center, processes developed enhance local maintenance...
Abstract In the development of autonomous downhole drilling systems, decision-making in selection optimized operating parameters has become one technical difficulties. Traditionally, driller performs a trial-and-error approach search optimal parameters, which is now less effective and non-sustainable to changing environment. This paper presents process using reinforcement Q-learning algorithms that can act as real-time optimization for selecting an parameter rotary systems on experimental...
The study examines the effect of debt services on infrastructural development in Nigeria. increase has been worrisome; recently Nigeria’s service astronomically increased without interruption. This uninterrupted resulted to decrease infrastructure, consequently, decreasing private investment and aggregate demand, thus, increasing unemployment country. employed an econometric model test a long run relationship between found relationship. also negative statistically significant infrastructure...