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Omar Mahmoud

Basic information

Name : Omar Mahmoud
Title: Lecturer
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Personal Info: Omar Saad Ahmed Mahmoud: is currently working as faculty member at the Department of Petroleum Engineering, Faculty of Engineering and Technology, Future University in Egypt (FUE). Previously, he was working as petroleum reservoir engineer with the North American Unconventional Resources (NAUR) Team at Apache Corporation’s San Antonio Region, USA. Before joining Apache Corporation, he worked as graduate research assistant/PhD Candidate for 4 years at the Harold Vance Department of Petroleum Engineering, Texas A&M University, USA. Previously, he worked for 8 years as assistant lecturer and teaching/research assistant at the Faculty of Petroleum and Mining Engineering, Suez University, Egypt. He also served as petroleum engineering intern at Apache Corporation (USA) during the summer of 2017. Mahmoud has a demonstrated history of working in the higher education and research industry in addition to a good industrial experience. His research interests include drilling fluids, rheology, filter cake characterization, nanoparticle applications, oilfield chemistry, formation damage and well stimulation, unconventional resources, reservoir simulation, and pressure transient/production data analysis. Mahmoud has authored/coauthored 21 technical articles and conference proceedings and serves as technical reviewer/editor for the SPE Drilling & Completion, SPE Production & Operations, and ASME Journal of Energy Resources Technology. He received PhD-degree from Texas A&M University, BSc and MSc degrees from Suez University, Egypt, all in petroleum engineering. View More...

Education

Certificate Major University Year
PhD Petroleum Engineering Texas A&M University - U.S.A 2017
Masters Petroleum Engineering Suez University - Faculty of Petroleum and Mining Engineering 2009
Bachelor . Suez University - Faculty of Petroleum and Mining Engineering 2004

Researches /Publications

Removing Ilmenite-Based Filter Cakes Using Hydrochloric Acid and Chelating Agent – Experimental Study

Omar Saad Ahmed Mahmoud

30/07/2023

https://digitalcommons.aaru.edu.jo/fej/vol4/iss1/2

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Effect of drilling and wellbore geometry parameters on wellbore temperature profile: Implications for geothermal production

Omar Saad Ahmed Mahmoud

22/06/2023

https://www.yandy-ager.com/index.php/ager/article/view/807

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Probabilistic Decline Curve Analysis: State-of-the-Art Review

Omar Saad Ahmed Mahmoud

Hegazy,Gehad

16/05/2023

https://www.mdpi.com/1996-1073/16/10/4117

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A comprehensive review of deterministic decline curve analysis for oil and gas reservoirs

Omar Saad Ahmed Mahmoud

08/04/2023

https://www.sciencedirect.com/science/article/pii/S2949891023003627?via%3Dihub

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Reliable Machine Learning for the Shear Strength of Beams Strengthened Using Externally Bonded FRP Jackets

Omar Saad Ahmed Mahmoud

taha

16/03/2023

https://www.frontiersin.org/articles/10.3389/fmats.2023.1153421/abstract

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Artificial Neural Network Model to Predict Filtrate Invasion of Nanoparticle-Based Drilling Fluids

Omar Saad Ahmed Mahmoud

08/03/2023

https://tis.wu.ac.th/index.php/tis/article/view/6736

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Suitability of Different Machine Learning Outlier Detection Algorithms to Improve Shale Gas Production Data for Effective Decline Curve Analysis

Omar Saad Ahmed Mahmoud

Ali Wahba;Sondos Mostafa

23/11/2022

https://www.mdpi.com/1996-1073/15/23/8835/htm

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The Influence of Directional Well Azimuth on Bit Performance: A Statistical Approach

Omar Saad Ahmed Mahmoud

13/10/2022

https://asmedigitalcollection.asme.org/OMAE/proceedings-abstract/OMAE2022/85956/V010T11A015/1148149

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Picking the Optimum Directional Drilling Technology (RSS vs PDM): A Machine Learning-Based Model

Omar Saad Ahmed Mahmoud

13/10/2022

https://asmedigitalcollection.asme.org/OMAE/proceedings-abstract/OMAE2022/85956/V010T11A014/1148142

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New Approach to Predict the Filtrate Invasion of Nanoparticle-Based Drilling Mud Using Artificial Neural Network

Omar Saad Ahmed Mahmoud

13/10/2022

https://asmedigitalcollection.asme.org/OMAE/proceedings-abstract/OMAE2022/85956/V010T11A016/1148156

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Insightful Facts on Peristalsis Flow of Water Conveying Multi-Walled Carbon Nanoparticles Through Elliptical Ducts With Ciliated Walls

Omar Saad Ahmed Mahmoud

24/06/2022

https://www.frontiersin.org/articles/10.3389/fphy.2022.923290/full

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Visualization of non-Newtonian convective fluid flow with internal heat transfer across a rotating stretchable surface impact of chemical reaction

Omar Saad Ahmed Mahmoud

21/06/2022

https://www.nature.com/articles/s41598-022-14384-7

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An experimental study to measure oil recovery factor by chemical agents and carbon dioxide after waterflooding

Omar Saad Ahmed Mahmoud

08/06/2022

https://www.nature.com/articles/s41598-022-13639-7

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Numerical investigation of a squeezing flow between concentric cylinders under the variable magnetic field of intensity

Omar Saad Ahmed Mahmoud

01/06/2022

https://www.nature.com/articles/s41598-022-13050-2

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Numerical investigation of heat transfer in the nanofluids under the impact of length and radius of carbon nanotubes

Omar Saad Ahmed Mahmoud

26/05/2022

https://www.degruyter.com/document/doi/10.1515/phys-2022-0040/html

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Hybrid Nanofluid Flow Induced by an Oscillating Disk Considering Surface Catalyzed Reaction and Nanoparticles Shape Factor

Omar Saad Ahmed Mahmoud

24/05/2022

https://www.mdpi.com/2079-4991/12/11/1794

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A Comparison of Performance, Emissions, and Lube Oil Deterioration for Gasoline–Ethanol Fuel

Omar Saad Ahmed Mahmoud

28/04/2022

https://www.mdpi.com/2227-9717/10/5/876

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A New Intelligent Dynamic Control Method for a Class of Stochastic Nonlinear Systems

Omar Saad Ahmed Mahmoud

22/04/2022

https://www.mdpi.com/2227-7390/10/9/1406

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Optimization of heterogeneous Catalyst-assisted fatty acid methyl esters biodiesel production from Soybean oil with different Machine learning methods

Omar Saad Ahmed Mahmoud

18/04/2022

https://www.sciencedirect.com/science/article/pii/S1878535222002313?via%3Dihub

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Numerical Assessment of Dipole Interaction with the Single-Phase Nanofluid Flow in an Enclosure: A Pseudo-Transient Approach

Omar Saad Ahmed Mahmoud

09/04/2022

https://www.mdpi.com/1996-1944/15/8/2761

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Novel Torque and Drag Model for Drilling Two-Dimensional High-Angle Wells

Omar Saad Ahmed Mahmoud

04/04/2022

https://pubs.acs.org/doi/abs/10.1021/acsomega.2c00924

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Numerical-Based Model for Calculating the Risk of Well Integrity Failures in Mature Fields Operated by Gas Lift

Omar Saad Ahmed Mahmoud

26/02/2022

https://link.springer.com/article/10.1007/s11668-022-01353-5

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A novel machine learning model for autonomous analysis and diagnosis of well integrity failures in artificial-lift production systems

Omar Saad Ahmed Mahmoud

18/02/2022

https://www.yandy-ager.com/index.php/ager/article/view/431

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Addressing Diverse Petroleum Industry Problems Using Machine Learning Techniques: Literary Methodology─Spotlight on Predicting Well Integrity Failures

Omar Saad Ahmed Mahmoud

07/01/2022

https://pubs.acs.org/doi/abs/10.1021/acsomega.1c05658

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Machine Learning Application for Gas Lift Performance and Well Integrity

Omar Saad Ahmed Mahmoud

18/10/2021

https://onepetro.org/SPEEURO/proceedings/21EURO/2-21EURO/D021S001R008/470528

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Using Artificial Intelligence Techniques in Modeling and Predicting the Rheological Properties of Nano-Based Drilling Fluids

Omar Saad Ahmed Mahmoud

Gasser, M.; Mahmoud, O.; Ibrahim, F.; Abadir, M.

11/10/2021

https://asmedigitalcollection.asme.org/OMAE/proceedings-abstract/OMAE2021/V010T11A070/1121626

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Application of Machine Learning Algorithms for Managing Well Integrity in Gas Lift Wells

Omar Saad Ahmed Mahmoud

Ragab, A. M. S.;Yakoot, M. S.; and Mahmoud, O.

04/10/2021

https://onepetro.org/SPEAPOG/proceedings/21APOG/1-21APOG/D012S032R003/470135

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Multi-Class Taxonomy of Well Integrity Anomalies Applying Inductive Learning Algorithms: Analytical Approach for Artificial-Lift Wells

Omar Saad Ahmed Mahmoud

Yakoot, M. S.; Ragab, A. M. S.; and Mahmoud, O.

01/09/2021

https://onepetro.org/SPEATCE/proceedings/21ATCE/3-21ATCE/D032S094R002/469448

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A Comprehensive Review and Analysis of Maturity Model for Well Integrity in Brownfield

Omar Saad Ahmed Mahmoud

Yakoot, M. S.; Elgibaly, A. A.; Ragab, A. M. S.; Mahmoud, O.

01/12/2020

https://www.iadc.org/wp-content/uploads/2020/12/ME20-Mostafa-Yakoot.pdf

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Estimating Ultimate Recoveries of Unconventional Reservoirs: Knowledge Gained from the Developments Worldwide and Egyptian Challenges

Omar Saad Ahmed Mahmoud

Sarah Elnekhaily, and Gehad Hegazy

01/01/2020

Supertight oil and gas reservoirs have always been considered uneconomical. Their high stimulation costs, forecasting the future production and estimating the ultimate recovery (EUR), have long been problematic. They should be constantly updated during the lifetime of a reservoir, besides; their accuracy depends on the amount of available data and the adopted method. However, after the enormous production in North America, exploring and developing unconventional hydrocarbon resources are gaining more interest worldwide. Nowadays, the Egyptian government is targeting tight layers/zones, in the western desert, to increase the high domestic energy demand and hence, increase the annual production of the conventional – high permeability – reservoirs. Several zones within Khatatba source rock in the Shoushan basin as well as in the Abu Gharadig basin are now being studied and evaluated to maximize their productivity and identify the optimal technology for future developments. In the present work, various approaches, used in predicting the performance of unconventional reservoirs, are investigated and compared through their forecasting future production and their estimated ultimate recovery (EUR). Traditional Arps’ decline, for low permeability reservoirs, over-forecasts reserves. Power-law exponential decline (PLED), stretched-exponential decline (SEPD), logistic-growth model (LGM), and Duong’s method have been used to represent the rate/time production data for the standard well completion in a multiple-fractured horizontal well in a shale play. These methods provide different forecasts as they are based on different equation forms. Unfortunately, previously mentioned methods are not satisfactorily adequate to forecast production for all unconventional reservoirs. The rate transient analytical (RTA) models require certain modifications of the reservoir and fracture parameters to provide optimistic EURs when compared to the numerical simulation. In this research, based on the production forecast and EUR prediction, different models for forecasting unconventional well data have been reviewed and compared. Production data has been used to validate the accuracy of the models, show the similarity of reserves estimation, and reveal the relationship to the reservoir theory. This work might help the Egyptian operating companies to better understand the production dynamics of unconventional reservoirs and suggest a more reliable model EUR’s estimation.

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Can Nanoparticles Improve the Characteristics of Drilling Fluids?

Omar Saad Ahmed Mahmoud

Ahmed Mady, Abdel Sattar Dahab

01/10/2019

The present work discusses the latest applications of nanoparticles (NPs) in the oil and gas industry, especially their implementations to improve the properties of drilling fluids. Successful drilling operations depend strongly on the effectiveness of the drilling fluids. Over the last few years, several researchers have examined the use of various types of NPs as additives with the drilling fluids. NPs can be defined as the simplest structure with a size in the range of nm. Physically, any collection of atoms bounded together as structure with any dimension in the range of less than 100 nm is considered as NPs. The effectiveness of NPs can be accredited to their small sizes and thus, high surface-area-to-volume ratio. Different types of NPs have been investigated to enhance the performance of the drilling fluid to mitigate the drilling problems, particularly at high pressure and high temperature (HP/HT). A thin filter cake and less filtrate invasion can be produced at these conditions when using NPs, which might help in reducing the differential pipe sticking and formation damage problems. In different investigations, NPs were also showed promising enhancements on the rheological characteristics of the drilling fluids. Another application when drilling shale formations using water-based drilling fluids. Swelling and collapse of shale is expected at these conditions, which might result in complicating the drilling operation. Adding NPs to the drilling fluid was found to minimize the shale permeability by physically plugging the nano-size pores. This can provide a potential solution for environmentally-sensitive areas where the oil-based mud is commonly used. This research paper presents a brief review of the most valuable findings in the literature regarding the efficient use of NPs in the field of drilling fluid. Additionally, different recommendations are stated, which might help researchers to better understand NPs' functionality and dynamics in this area of application.

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Effect of Ferric Oxide Nanoparticles on the Properties of Filter Cake Formed by Calcium Bentonite-Based Drilling Muds

Omar Saad Ahmed Mahmoud

Hisham A Nasr-El-Din, Zisis Vryzas, Vassilios Kelessidis

01/09/2018

During the past few decades, nanoparticles (NPs) have been investigated as additives to address the challenges of drilling fluids and have shown potential for application. The present work focuses on introducing and investigating a calcium (Ca) bentonite-based drilling fluid with ferric oxide (Fe2O3) NPs. Generating efficient filter cake is an important property of the drilling fluid and can affect the success of the whole drilling operation. This study aims at characterizing the filter cake produced by Ca bentonite-based drilling fluid modified using Fe2O3 NPs. Computed-tomography (CT) scan and scanning electron microscopy energy dispersive spectroscopy (SEM-EDS) were used for filter-cake characterization. The effects of NP concentration and filtration conditions on the filter-cake properties were investigated. A high-pressure/high-temperature (HP/HT) American Petroleum Institute (API) filter press was used to perform static and dynamic filtrations. Indiana limestone disks were used as filter media to simulate formation behavior. The modified Fe2O3 NPs/Ca bentonite fluid showed improved filter-cake and filtration properties in the presence of polymers and other additives. A concentration of less than 1 wt% of NPs is preferred for generating a good-quality filter cake. The best characteristics were obtained when using an NP concentration of 0.3 to 0.5 wt%. The NPs/Ca bentonite-based drilling fluid can withstand conditions up to 500 psi and 350°F and generate filter-cake properties of 0.151-in. thickness, 6.9-cm3/30-min filtrate volume, and 0.449-md permeability. Fe2O3 NPs improved the filter-cake properties under both static and dynamic conditions. SEM-EDS showed a smoother/less-porous filter-cake morphology with less agglomeration when using NPs at optimal concentrations, which confirms that the NPs play a key role in forming a better filter-cake structure. The present work provides an experimental evaluation of the filter cake generated by modified NPs/Ca bentonite-based drilling fluid at downhole conditions, which is an extension of our previous work using a simple NPs/Ca bentonite suspension (Mahmoud et al. 2018). The improved properties of the filter cake confirmed the effectiveness of using Ca bentonite modified with Fe2O3 NPs to formulate a drilling fluid that can effectively be used for drilling practices.

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Study of Cluster Efficiency in Unconventional Reservoirs by Analytical Simulators

Omar Saad Ahmed Mahmoud

Mohamed Ibrahim Mohamed ;Yakup Coskuner ; Mohamed Salah Mohamed ; Mazher Ibrahim ; Chester Pieprzica

01/08/2018

Unconventional reservoirs have been defined as formations that cannot be produced at economic flow rates or that do not produce economic volumes of oil and gas without horizontal well with hydraulic fracture treatments. Horizontal well fracturing efficiency in unconventional reservoirs is the main factor for the success of developing unconventional reservoirs. The early focus of the industry was on the operational efficiency and during this period, the geometric spacing of perforation clusters adopted as the preferred completion method. Cipolla et al. (2011) presented a case study on the interpretation of production logs from hundreds of horizontal wells. The results indicated that 60% of perforation clusters contribute to production when completed geometrically and completion cost could reach more than 60% of the total well cost. Recently, numerous studies have been undertaken to understand this phenomenon. Increasing the stimulation effectiveness and maximizing the number of perforation clusters contributing to productivity was an obvious area for improvement to engineer the completion design. The uniform initiation and distribution of fractures in each frac stage is very complex because there are many factors affecting the fracture initiation such as stress orientation, heterogeneity, existing of natural fractures, and completion design. This paper presents sensitivity studies investigating the effect of the formation permeability, fracture spacing, fracture half-length, fracture conductivity, flowing bottom hole pressure, and outer reservoir permeability on the well ultimate recovery efficiency by using analytical simulator.

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A New Look at Reserves Estimation of Unconventional Gas Reservoirs

Omar Saad Ahmed Mahmoud

Mazher Ibrahim; Omar Mahmoud; Chester Pieprzica

23/07/2018

https://onepetro.org/URTECONF/proceedings/18URTC/1-18URTC/D013S019R004/157038

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Formation Damage Assessment and Filter Cake Characterization of NPs/Ca-Bentonite Fluids for Drilling Harsh Environments Using Computed-Tomography Scan

Omar Saad Ahmed Mahmoud

Hisham Nasr-El-Din

01/06/2018

Invasion of mud filtrate while drilling is considered as one of the most common sources of formation damage. Minimizing formation damage, using appropriate drilling fluid additives that can generate good-quality filter cake, provides one of the key elements for the success of the drilling operation. This study focuses on assessing the effect of using different types of nanoparticles (NPs) with Ca-bentonite on the formation damage and filter cake properties under downhole conditions. Four types of oxide NPs were added to a suspension of 7 wt% of Ca-bentonite with deionized water: ferric oxide (Fe2O3), magnetic iron oxide (Fe3O4), zinc oxide (ZnO), and silica (SiO2) NPs. The NPs/Ca-bentonite suspensions were then used to conduct the filtration process at a differential pressure of 300 psi and 250°F, using a standard filter press. Indiana limestone disks of 1 in. thickness were examined, as the filter medium, to simulate the formation in the filtration experiments. Computed-tomography (CT) scan technique was used to characterize the deposited filter cake and evaluate the formation damage that was caused by using different fluid samples. The results of this study showed that the filtrate invasion is affected by the type of NPs, which is also affecting the disk-porosity. Using 0.5 wt% of Fe2O3 NPs with the 7 wt% Ca-bentonite fluid showed a higher potential to minimize the amount of damage. The average porosity of the disk was reduced by 1.0%. However, adding 0.5 wt% of Fe3O4, SiO2, and ZnO NPs yielded a disk-porosity decrease by 4.7, 13.7, and 30%, respectively. The decrease in the disk-porosity after the filtration is directly proportional to the volume of invaded filtrate. Compared to that of the base fluid, the best reduction in the filtrate invasion was achieved when adding 0.5 wt% of Fe2O3 and Fe3O4 NPs by 42.5 and 23%, respectively. The results revealed that Fe2O3 and Fe3O4 NPs can build better Ca-bentonite-platelet structure and thus, a good-quality filter cake. This is due to their positive surface charge and stability in suspensions, as demonstrated by zeta potential (ζ-potential) measurements, which can minimize formation damage. Increasing the concentration of Fe3O4 NPs from 0.5 to 1.5 wt% showed an insignificant variation in the filtrate invasion, spurt loss, and filter cake permeability; however, an increase in the filter cake thickness as well as the amount of damage created was observed. The 1.5 wt% of ZnO NPs showed a better performance compared to the case having 0.5 wt% of ZnO NPs, but in the meanwhile it showed the lowest efficiency when compared to the other types of NPs. This could be due to their surface charge and suspensions’ instability. Results of this work are useful in evaluating the drilling applications using Ca-bentonite based fluids modified with NPs as an alternative to the commonly used Na-bentonite. Additionally, it might help in understanding the NPs/Ca-bentonite interaction for providing more efficient drilling operations and less formation damage.

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Using Ferric Oxide and Silica Nanoparticles To Develop Modified Calcium Bentonite Drilling Fluids

Omar Saad Ahmed Mahmoud

Hisham A Nasr-El-Din, Zisis Vryzas, Vassilios C Kelessidis

01/03/2018

One of the important functions of drilling fluids is to form a filter cake, which minimizes leakoff of drilling fluids into the formation. Drilling-fluid invasion can cause formation damage, but good-quality filter cake can reduce such damage. This research focuses on the laboratory techniques and performance results of testing innovative calcium-bentonite-based drilling fluids containing nanoparticles (NPs) for minimizing formation damage during drilling in harsh environments. A rotational viscometer was used to measure the rheological properties of the tested fluids. Zeta-potential measurements were conducted at different NP concentrations to assess their stability and to investigate the role of charge potential. Indiana limestone outcrop disks were examined as the filter media for both static and dynamic filtration (up to 350°F and 500 psi) using a filter press. The filter cakes were examined using a computed-tomography (CT) scan and scanning-electron-microscopy energy-dispersive spectroscopy (SEM-EDS). Inductively coupled plasma optical-emission spectrometry (ICP-OES) was used to measure the concentrations of key ions in the filtrate fluids. A reduction of 43% in the filtrate-fluid volume was achieved when adding 0.5 wt% of ferric oxide NPs compared with that of the base fluid. However, using silica NPs led to an increase in the filtrate volume and filter-cake thickness. Using 0.5 wt% of ferric oxide NPs provided less agglomeration and reduced the filter-cake permeability. In addition, the SEM-EDS and ICP-OES analysis showed a replacement of the cations dissociated from the bentonite by NPs, which promoted the formation of a rigid clay-platelet structure. The produced filter cakes consisted of two layers, as indicated by the CT-scan analysis. Increasing the concentration of NPs resulted in an increase in the fluid loss and filter-cake thickness. At a higher NP concentration (2.5 wt%), a third layer of NPs was observed, which adversely affected the filter-cake characteristics, as demonstrated by CT-scan analysis and SEM-EDS elemental mapping. Furthermore, the NP-bentonite fluids had stable rheological properties at different temperatures (up to 200°F) and NP concentrations. In addition, aging these fluids at 350°F for 16 hours showed minor changes in the rheological properties. This research work provides an experimental evaluation of improved calcium-bentonite-based fluids using NPs under downhole conditions. The ferric oxide NPs have the potential to enhance the properties of calcium bentonite, as a low-cost alternative, to perform well in an application where the higher-value sodium bentonite is commonly used, which could provide more-efficient drilling operations and less formation damage.

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New Magnetite Nanoparticles Allow Smart Drilling Fluids with Superior Properties

Omar Saad Ahmed Mahmoud

Chris Carpenter (JPT Technology Editor)

01/11/2017

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper IPTC 18731, “A Comprehensive Approach for the Development of New Magnetite Nanoparticles Giving Smart Drilling Fluids With Superior Properties for HP/HT Applications,” by Z. Vryzas, Texas A&M University at Qatar; V. Zaspalis, Aristotle University of Thessaloniki; L. Nalbantian, Centre for Research and Technology Hellas; O. Mahmoud and H.A. Nasr-El-Din, Texas A&M University; and V.C. Kelessidis, Texas A&M University at Qatar, prepared for the 2016 International Petroleum Technology Conference, Bangkok, Thailand, 14–16 November. The paper has not been peer reviewed. Copyright 2016 International Petroleum Technology Conference. Reproduced by permission. This work focuses on using custom-made (CM) magnetite (Fe3O4) nanoparticles (NPs) to improve the properties of bentonite-based fluids. The microstructure qualities and modes of interaction have been identified, helping to optimize the rheological and fluid-loss properties of these drilling fluids. The better performance of the CM Fe3O4 NPs can be attributed to their extremely small size, which leads to stability in suspensions and effective linking with the bentonite particles, thus allowing the formation of a rigid microstructure network.

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Development of Novel Drilling-Fluids Nanoparticles for Enhanced Drilling Operations

Omar Saad Ahmed Mahmoud

Chris Carpenter

01/11/2016

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper IPTC 18381, “Development and Testing of Novel Drilling Fluids Using Fe2O3 and SiO2 Nanoparticles for Enhanced-Drilling Operations,” by Zisis Vryzas, Texas A&M University at Qatar; Omar Mahmoud and Hisham A. Nasr-El-Din, Texas A&M University; and Vassilios C. Kelessidis, Texas A&M University at Qatar, prepared for the 2015 International Petroleum Technology Conference, Doha, Qatar, 7–9 December. The paper has not been peer reviewed. Copyright 2015 International Petroleum Technology Conference. Reproduced by permission. This work focuses on the laboratory techniques for developing, assessing, and analyzing innovative water-based drilling fluids containing iron oxide (Fe2O3) and silica (SiO2) nanoparticles. The examined nanoparticles have the potential to significantly improve the characteristics of the filter cakes at both low-pressure/low-temperature (LP/LT) and high-pressure/high-temperature (HP/HT) conditions. They also have the ability to maintain optimal rheological properties so that many drilling problems can be mitigated efficiently. Introduction Drilling-fluid loss is considered the major source of capital expenditure during drilling operations. Nanoparticles have proved to be more effective in reducing the filtrate losses than conventional fluid-loss reducers. Because they exhibit different adsorption and transportation behavior in different porous media, nanoparticles have been used successfully as stabilizers in emulsions and foams, as rheology modifiers, and as fluid-loss additives in surfactant/polymer or water-based drilling fluids. Addition of Fe2O3 and SiO2 nanoparticles can improve or at least maintain fluid properties even at high temperatures. This work aims to find the optimal concentration of such nanoparticles.

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Studying the Combined Effect of Wellbore Storage and Skin on Well Testing Using Simulation and Analytical Solutions

Omar Saad Ahmed Mahmoud

Omar Mahmoud, Mazher Ibrahim, Attia M. Attia, Shouhdi Shalaby

01/01/2008

Well testing is an important tool for reservoir evaluation and characterization. The goals of a well test are to obtain sufficient data to meet the stated objectives and to accomplish these tasks in a less time and inexpensive manner. For that, designing of a test plan is too important before starting that test. Reservoir simulation is widely used to solve research problems as well as actual field problems. This is due to the limitation of analytical solutions to deal with the heterogeneity of the reservoirs and non-linearity of the diffusivity equations (i.e., for gases, properties changing with pressure). Another reason is its ability to be used in predictive methods for reservoir management purposes. This paper discusses the design of well testing models using conventional reservoir simulator, GASSIM, to simulate the combined effect of wellbore storage and skin. Both oil and gas cases, with radial and areal grids are designed. The simulated pressure-transient behavior model results matched well the analytical solutions (having the same wellbore storage and skin parameters within a well test software) which illustrate its accuracy. These models are used to study the effect of wellbore storage and skin on a pressure-transient test. The results illustrate its agreement with any actual reservoir behavior, so its ability to be used, without the need to modify the simulator, in simulating and designing pressure-transient tests.

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