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ISSN: 2096-2495
CN: 10-1439/TE
e-ISSN: 2524-1729

An advanced workflow to compress the uncertainties of stochastic distribution of Bahariya reservoir properties using 3D static modeling; an example from Heba Oil Fields, Western Desert, Egypt

The main objective of this paper is to construct a static model that compress the uncertainties of the stochastic distribution of the reservoir properties of the Bahariya Formation in Heba field, at...

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Geomechanical analysis of an oil field: Numerical study of wellbore stability and reservoir subsidence

Geomechanics as the knowledge of rock deformation and stability is an indispensable part of all field development plans. Conducting geomechanical analyses leads to a safer and more efficient operation...

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Estimation of the minimum miscibility pressure for CO2–crude-oil systems by molecular dynamics simulation

CO2 injection is an effective enhanced oil recovery technique for energy security with the benefits of carbon neutrality. To reach the maximum oil recovery, the miscible condition between CO2 and oil...

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Performance evaluation of nanosilica derived from agro-waste as lost circulation agent in water-based mud

Seepage or loss of the mix-water from the drilling muds into the porous and permeable formations is a common problem during drilling operation. The drilling mud design requires a good knowledge of sealing...

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Review of application of artificial intelligence techniques in petroleum operations

In the last few years, the use of artificial intelligence (AI) and machine learning (ML) techniques have received considerable notice as trending technologies in the petroleum industry. The utilization...

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Speciation, source identification, and risk assessments of potentially toxic metals in oil-impacted soils around petroleum products retailing stations

The present study was carried out to investigate the speciation, source identification, and risk assessment of potentially toxic elements (As, Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn) in soils around petroleum...

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Microfacies analysis and depositional environment of the Upper Devonian Dankovo-Lebedyansky sediments, Tatarstan, Volga-Ural Basin, Russia

The Upper Devonian, Middle Famennian Dankovo-Lebedyansky sediments in Southeast Tatarstan territory are a carbonate sequence composed of limestone and dolomite, which is important hydrocarbon reservoir...

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Predicting the effects of selected reservoir petrophysical properties on bottomhole pressure via three computational intelligence techniques

This study investigates the effects of selected petrophysical properties on predicting flowing well bottomhole pressure. To efficiently situate the essence of this investigation, genetic, imperialist...

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Effect of operating pressure on the performance of THAI-CAPRI in situ combustion and in situ catalytic process for simultaneous thermal and catalytic upgrading of heavy oils and bitumen

According to the analysis of the 2020 estimates of the International Energy Agency (2020), the world will require up to 770 billion barrels of oil from now to 2040. However, based on the British Petroleum...

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Prediction of fold-of-increase in productivity index post limited entry fracturing using artificial neural network

Unified Fracture Design (UFD) bridges the gap between practices and theory in the hydraulic fracturing industry. It represents a technique to design hydraulic fracturing treatment with a particular...

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Review of wax sedimentations prediction models for crude-oil transportation pipelines

Wax sedimentation in pipelines is a severe crude oil production and transportation challenge. Pipeline surface roughness is experienced at the early stages of the problem; with time, the effective pipe...

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Chemical speciation, bioavailability and risk assessment of potentially toxic metals in soils around petroleum product marketing company as environmental degradation indicators

The study aims at investigating chemical speciation, bioavailability and risk assessment of some selected metals in soils around refined petroleum depot using the concentrations of the metals as variables...

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Investigation of flow behavior of crude oils with emphasis to upper Assam Basin, India

This paper attempts to investigate the viscoelastic nature of eight Crude Oil (CO) samples from the Upper Assam Basin, India. Viscoelasticity was studied using Dynamic Mechanical Analysis (DMA) where...

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NMR chemical shifts of carbon atoms and characteristic shift ranges in the oil sample

Application of high resolution 13C nuclear magnetic resonance (NMR) spectroscopy to characterize crude oil was demonstrated. The chemical shifts of 13C NMR functional groups that determine the composition...

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A minimalist approach for detecting sensor abnormality in oil and gas platforms

Compressors play an important role in day-to-day operation in most oil and gas platforms, especially in the case for maintaining gas pressure in transportation pipe. Its complex problem to detect the...

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An assessment of trace metal pollution indicators in soils around oil well clusters

Due to the metallic ion constituents of crude oil, environmental levels of toxic metals are often exacerbated when oil is spilt. Biseni community plays host to numerous oil production companies in Bayelsa...

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Influence of wellhead pressure and water cut in the optimization of oil production from gas lifted wells

The worldwide increase in energy demand necessitates the development and optimization of marginal oil fields for sustenance. In this regard, effective and economic production of fluids are heavily relied...

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Hybrid surfactant-nanoparticles assisted CO2 foam flooding for improved foam stability: A review of principles and applications

Miscible carbon dioxide (CO2) flooding is a well-established and promising enhanced oil recovery (EOR) technique whereby residual oil is recovered by mixing with injected CO2 gas. However, CO2, being...

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A robust deep structured prediction model for petroleum reservoir characterization using pressure transient test data

A robust deep learning model consisting of long short-term memory and fully connected neural networks has been proposed to automatically interpret homogeneous petroleum reservoirs having infinite, no...

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Application of machine learning algorithms to predict tubing pressure in intermittent gas lift wells

Tubing pressure at gas injection depth in intermittent wells is one of the most critical parameters for production engineers to evaluate the performance of the system. However, monitoring of the tubing...

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Machine learning classification approach for formation delineation at the basin-scale

Machine learning and artificial intelligence approaches have rapidly gained popularity for use in many subsurface energy applications. They are seen as novel methods that may enhance existing capabilities,...

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Effects of nanoparticles, polymer and accelerator concentrations, and salinity on gelation behavior of polymer gel systems for water shut-off jobs in oil reservoirs

Excess water production is one of the crucial complications in the oil industry, leading to a rapid decline in oil production. To overcome this problem, different polymer gels are used to block the...

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Studying the direction of hydraulic fracture in carbonate reservoirs: Using machine learning to determine reservoir pressure

Hydraulic fracturing (HF) is an effective way to intensify oil production, which is currently widely used in various conditions, including complex carbonate reservoirs. In the conditions of the field...

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Structure modeling of activated carbons used for simulating methane adsorption – A review

Activated carbons (ACs) are highly porous materials with a broad range of applications in industry such as gas storage, water and air purification, gas separation, and catalysis. The microstructure...

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Numerical simulation investigations of the applicability of THAI in situ combustion process in heavy oil reservoirs underlain by bottom water

The presence of a bottom water (BW) layer in heavy oil reservoirs can present substantial problems for efficient oil recovery for all recovery techniques. Hence, it is necessary to know how particular...

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