4.5 Article

Irreducible water saturation from capillary pressure and electrical resistivity measurements

Publisher

EDP SCIENCES S A
DOI: 10.2516/ogst:2007066

Keywords

-

Ask authors/readers for more resources

This paper presents the results of capillary pressure and electrical resistivity measurements for three kinds of core specimens: Berea sandstone, Quartz and Limestone. Experimental data of resistivity index, formation resistivity factor, tortuosity, capillary pressure, and water saturation exponent in the air/brine system for these cores are reported. The electrical resistivities data are evaluated using the modified Archie's law. Capillary pressure and electrical resistivity versus brine saturation results show the existence of two irreducible water saturations corresponding to two different physical phenomena. The two values of irreducible brine saturations yield upper and lower limits that can be used to estimate the production capacity of porous media. The detailed analysis of the data has also shown a change in the value of the saturation exponent. This change would be also be observed at the irreducible brine saturation, as obtained with capillary pressure data.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Electrochemistry

Current Distribution of Lead Ions Deposition Within Porous Flow-Through Electrodes Operating Under Simultaneous Hydrogen Gas Evolution

Mohamed S. El-Deab, Mohamed Awad, Aya Md Saada, Attia M. Attia

Summary: The study explores the impact of operating hydrodynamic and structural parameters on metal deposition current distribution in flow-through porous reactors. It finds that lower electrolyte resistivity and higher flow rates lead to more uniform current distribution, while increased electrode thickness results in less uniformity. The results are explained using existing electrochemical theory and the development of a dimensionless ohmic index.

INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE (2021)

Article Chemistry, Multidisciplinary

Guar Gum-Based Hydrogels as Potent Green Polymers for Enhanced Oil Recovery in High-Salinity Reservoirs

Shimaa M. Elsaeed, Elsayed Gamal Zaki, Walaa A. E. Omar, Ahmed Ashraf Soliman, Attia Mahmoud Attia

Summary: Novel guar gum-based hydrogels, developed by graft copolymerization with different co-monomers and cross-linking, exhibited excellent performance for enhanced oil recovery in high-salinity reservoirs. The hydrogels showed a notable influence on delaying water breakthrough in polymer flooding experiments, achieving maximum oil recoveries of over 70% in secondary and tertiary recovery processes.

ACS OMEGA (2021)

Article Energy & Fuels

Biosurfactant production using Egyptian oil fields indigenous bacteria for microbial enhanced oil recovery

Hamed Aboelkhair, Pedro Diaz, Attia Attia

Summary: This study investigated the production of biosurfactants by indigenous bacteria isolated from Egyptian oil fields, focusing on optimizing surface activity through different nutrient media and examining growth and surface activity under varying conditions. Bacillus spp was selected for its potential in MEOR, showing significant reduction in surface tension and interfacial tension. The study revealed Bacillus spp's ability to produce effective biosurfactants in a new proposed nutrient medium H.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)

Article Chemistry, Multidisciplinary

Prediction of the Rheological Properties of Invert Emulsion Mud Using an Artificial Neural Network

Abdelrahman Gouda, Samir Khaled, Sayed Gomaa, Attia M. Attia

Summary: Successful drilling operations require optimal well planning and mud programs, with AI-based models playing a role in estimating mud rheological properties. The proposed artificial neural network models exhibited outstanding performance compared to existing models, with high accuracy and replicability.

ACS OMEGA (2021)

Article Chemistry, Multidisciplinary

New Correlation for Calculating Water Saturation Based on Permeability, Porosity, and Resistivity Index in Carbonate Reservoirs

Sayed Gomaa, Ahmed Ashraf Soliman, Abdulrahman Mohamed, Ramadan Emara, Attia Mahmoud Attia

Summary: This paper develops two techniques to estimate water saturation by using data sets from carbonate core samples, achieving higher accuracy in calculating water saturation. The proposed artificial neural network model performs exceptionally well in estimating water saturation.

ACS OMEGA (2022)

Article Energy & Fuels

Development of artificial neural network models to calculate the areal sweep efficiency for direct line, staggered line drive, five-spot, and nine-spot injection patterns

Sayed Gomaa, Ahmed Ashraf Soliman, Karim Nasr, Ramadan Emara, A. N. El-Hoshoudy, Mahmoud Attia Attia

Summary: This research uses artificial neural network models to calculate the areal sweep efficiency for different displacement patterns and proposes new models for calculating the areal sweep efficiency for the nine-spot injection pattern.
Article Energy & Fuels

Environmental comparative study of biosurfactants production and optimization using bacterial strains isolated from Egyptian oil fields

Hamed Aboelkhair, Pedro Diaz, Attia Attia

Summary: This study successfully produced effective biosurfactants with optimal surface and emulsification activities by incubating selected bacterial strains isolated from Egyptian oil fields. The stability of the produced biosurfactants under harsh reservoir conditions was high, and they showed a significant potential in enhancing oil recovery without posing any environmental risks.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)

Article Chemistry, Multidisciplinary

Adsorption of the Xanthan Gum Polymer and Sodium Dodecylbenzenesulfonate Surfactant in Sandstone Reservoirs: Experimental and Density Function Theory Studies

George E. Azmi, Aya M. Saada, Eissa M. Shokir, Mohamed S. El-Deab, Attia M. Attia, Walaa A. E. Omar

Summary: Chemical flooding using polymer and surfactant is commonly used in oilfields for enhanced oil recovery. This study investigates the adsorption of xanthan gum and sodium dodecylbenzenesulfonate on rock surfaces and the influence of concentration and reservoir salinity on adsorption capacity. The addition of nanosilica particles to the displacement fluids is also explored. Results show that increasing chemical concentration leads to increased adsorption on the rock surface, and permeability reduction is affected by both concentration and type of chemical used. The addition of nanosilica particles enhances adsorption on the rock surface.

ACS OMEGA (2022)

Article Chemistry, Multidisciplinary

New Models for Predicting Pore Pressure and Fracture Pressure while Drilling in Mixed Lithologies Using Artificial Neural Networks

Samir Khaled, Ahmed Ashraf Soliman, Abdulrahman Mohamed, Sayed Gomaa, Attia Mahmoud Attia

Summary: Accurate prediction of pore pressure and fracture pressure is crucial in petroleum engineering. Researchers have proposed various models using well log information, rock strength properties, or drilling data. Recently, artificial intelligence techniques have shown great performance in this field. In this study, two artificial neural network models were developed to estimate pore pressure and fracture pressure using drilling data from different lithologies. The models achieved accurate estimation and were validated using data from the Middle East.

ACS OMEGA (2022)

Article Green & Sustainable Science & Technology

Synthesis of green thermo-responsive amphoteric terpolymer functionalized silica nanocomposite derived from waste vegetable oil triglycerides for enhanced oil recovery (EOR)

Shahenda Mahran, Attia Attia, Basudeb Saha

Summary: This research focuses on the synthesis of a novel environmentally friendly, thermo-responsive amphoteric nanocomposite using waste vegetable oil (WVO) for enhanced oil recovery (EOR) applications under high-temperature and high-salinity reservoir conditions. The nanocomposite exhibits excellent viscosifying properties and achieves high oil recovery factor even at low concentrations. This study offers a new direction for the development of green EOR materials using waste vegetable oil.

JOURNAL OF CLEANER PRODUCTION (2022)

Article Chemistry, Multidisciplinary

Electrical Tortuosity Index: A New Approach for Identifying Rock Typing to Enhance Reservoir Characterization Using Well-Log Data of Uncored Wells

John S. S. Shahat, Ahmed Ashraf Soliman, Sayed Gomaa, Attia Mahmoud Attia

Summary: The world is facing a severe energy crisis due to the increasing demand for energy surpassing its supply. Improved oil recovery techniques are needed to provide affordable energy. This research aims to establish accurate reservoir characterization techniques based on electrical rock properties obtained from logging tools. By modifying the Resistivity Zone Index equation, a new technique called Electrical Tortuosity Index (ETI) is developed, which accurately estimates rock types, flow zone indicators, permeability, tortuosity, and irreducible water saturation for uncored wells. This technique shows high accuracy compared to existing methods, with correlation coefficients of determination (R (2)) equal to 0.98 and 0.99.

ACS OMEGA (2023)

Article Chemistry, Multidisciplinary

Sulfonamide Derivatives as Novel Surfactant/Alkaline Flooding Processes for Improving Oil Recovery

Ahmed Ashraf Soliman, Mohammed Amr ElSahaa, Shimaa. M. Elsaeed, Elsayed Gamal Zaki, Attia Mahmoud Attia

Summary: With the increasing demand for petroleum products, oil consumption has also increased, leading to the need for finding more economical and effective ways to increase hydrocarbon production. This paper introduces an innovative method using two novel types of surfactants synthesized from sulfonamide derivatives to enhance oil recovery. The surfactants were analyzed and characterized using various spectroscopy techniques, and their effectiveness was evaluated through interfacial tension measurements. The combination of the surfactants with alkaline was also investigated. Coreflood and sandpack tests under high-salinity conditions were conducted to assess the effects of the surfactant alone and alkaline-surfactant combination on improving oil recovery. The results showed that the alkaline-surfactant flooding achieved a higher oil recovery rate compared to surfactant flooding and waterflooding, and exhibited noticeable reductions in oil-water interfacial tension and changes in rock wettability.

ACS OMEGA (2023)

Article Energy & Fuels

Investigation of the effect of tortuosity, hydrocarbon saturation and porosity on enhancing reservoir characterization

Ayman Mahmood, Hamed Aboelkhair, Attia Attia

Summary: Reservoir characterization and rock typing studies are essential in selecting the most suitable technique for enhanced oil recovery. Insufficient and inadequate reservoir characterization results in failures in field development plans and impacts the effectiveness of secondary and enhanced hydrocarbon recovery.

GEOENERGY SCIENCE AND ENGINEERING (2023)

Review Green & Sustainable Science & Technology

Recent Advances in Biomass Pyrolysis Processes for Bioenergy Production: Optimization of Operating Conditions

Dina Aboelela, Habibatallah Saleh, Attia M. Attia, Yasser Elhenawy, Thokozani Majozi, Mohamed Bassyouni

Summary: Bioenergy is now a primary choice for replacing fossil fuels and reducing GHG emissions in the short- and medium-term. The most practical method for converting biomass into biofuel is thermochemical conversion, particularly the pyrolysis process. This study investigates the pyrolysis process and operating conditions to optimize product yields and quality.

SUSTAINABILITY (2023)

Article Energy & Fuels

Resistivity zone index: A new approach in rock typing to enhance reservoir characterization using well log data

John S. Shahat, Mohamed Balaha, Mohamed S. El-Deab, Attia M. Attia

Summary: This study addresses a new approach for reservoir rocks characterization based on their electrical properties obtained from mathematical processing of well logs, achieving accuracy in rock typing and reservoir characterization through the calculation of RZI values and permeability.

ENERGY REPORTS (2021)

No Data Available