LIST OF PUBLICATIONS

A Review on cyber security in oil and gas rig sites by itemizing human errors in turn-torque-systems
Journal: Computers and Informatics
DOI: 10.62189/ci.1521080
Abstract:
Information technology (IT) is widely utilized at rig sites, with its growing volume and complexity introducing potential errors that may lead to system failures. While various studies propose preventive solutions, human errors remain a leading cause of system failures and cybersecurity vulnerabilities. Investigating the factors contributing to ...these errors has become increasingly important. Human error is often regarded as the weakest link in the security chain and a primary cause of system failures. This study examines human factors influencing Turn-Torque Systems, critical control systems used at rig sites in the oil and gas sector. Human errors weaken the cybersecurity of these systems, creating vulnerabilities. By focusing on failures caused specifically by human errors rather than broader cybersecurity challenges, this review identified several human factors impacting IT, including time pressure, security culture, inadequate security policies, lack of education and training, insufficient security awareness, peer behavior, poor communication, work-related stressors, flawed system design, and misalignment with security policies. Itemizing these factors allows targeted interventions to address them individually, thereby reducing human errors and mitigating cybersecurity risks at rig sites. Read More
May 2025

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Remote Operation Support Based on Wearable Augmented Reality: Challenges and Field Deployment
Conference: 2025 SPE/IADC International Drilling Conference and Exhibition At: Stavanger, Norway
DOI: 10.2118/223659-MS
Abstract:
In response to the evolving demands within the oil and gas (O&G) industry, this paper examines the integration of augmented reality (AR) headsets in remote operation support, focusing specifically on the challenges encountered, field deployment strategies, and considerations for global scalability and ongoing technology development. Four case studies—remote equipment surveys and troubleshooting,tubular thread inspection, field auditing ..., and rig site operations—are presented to demonstrate how these technologies can enable feasible solutions for remote support and collaboration, which transform traditional operational paradigms. By leveraging AR and related remote technologies, operational efficiency, safety, and cost-effectiveness are enhanced. However, the implementation of AR in harsh and remote environments introduces unique challenges. Key obstacles, including environmental conditions, connectivity limitations, data security, ergonomic constraints, and user adoption barriers, are highlighted and addressed through various mitigation strategies. For example, ruggedized and explosive atmospheres (ATEX)--compliant AR devices were deployed to withstand tough environmental conditions at drilling rigs. To manage connectivity issues in remote locations, private networks, and encryption protocols were implemented to ensure secure, stable communication channels necessary for real-time support. Comprehensive user training programs were introduced to facilitate smooth adoption and to deliver practical benefits to users. In addition to addressing these challenges, the impact of global deployment strategies and continuous technology development on maximizing the effectiveness of AR in the O&G industry is outlined. Significant operational improvements are indicated by the findings from these case studies, including a reduction in travel-related expenses and carbon emissions, enhanced accuracy in remote inspections, improved safety protocols, and decreased maintenance costs. These results underscore the transformative potential of AR when thoughtfully implemented with robust support systems, highlighting its ability to drive productivity and sustainability in O&G operations globally. Our findings suggest that AR, paired with comprehensive challenge mitigation strategies, offers a valuable model for future applications across the industry. With continued advancements in wearable technology, remote support can further evolve to meet the industry’s demands for operational efficiency, safety, and environmental sustainability. Read More
February 2025

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Understanding the Relation between System Usability and End User Performance
Conference: 2021 2nd International Informatics and Software Engineering Conference (IISEC) At: Ankara, Turkey
DOI: 10.1109/IISEC54230.2021.9672429
Abstract:
Web applications have been spreading everywhere. However, this may have a number of drawbacks mostly related to usability issues. Therefore, the investigation of usability problems continues to improve these applications. In this study, usability metrics are used for web application interface evaluation. The relation between web application usability and end user performance is investigated. Many studies have evaluated interface usability ... in a number of sectors; however, studies on oil and gas web applications have been limited. In this study, two sessions with twelve participants were designed to obtain data directly from end users. The sessions were observation and user feedback sessions. The findings indicate a potential relation between system usability and end user performance in terms of effectiveness and satisfaction. Read More
December 2021

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Survey on Interface Usability Evaluation for Oil and Gas Critical Control Systems
Conference: 2021 2nd International Informatics and Software Engineering Conference (IISEC)At: Ankara, Turkey
DOI: 10.1109/IISEC54230.2021.9672449
Abstract:
Usability is the key to develop and improve any system as it represents the direct contact point between users and machines. The use of the critical control system in the oil and gas industry is increasing. Due to the complexity of these systems, its interface usability should be assessed and developed periodically. In this research, the attributes that affect interface usability are identified. The usability of the Torque Turns System (TTS) ...is evaluated since the periods of downtime is projected to increase in the field. There are some works similar to our work however none of them had collected data directly from real operators from the field. An evaluation of the torque turn system interface usability is performed using questionnaire related to common interface usability attributes including accessibility, learnability, effectiveness, memorability, efficiency, safety, cognitive load, understandability, and satisfaction. The findings indicate a potential weakness in terms of understandability and accessibility. Read More
December 2021

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Investigating the Human factors that impact e-learning systems in oil and gas industry
Conference: 1ST VIRTUAL INTERNATIONAL CONFERENCE ON SCIENCES: VICS2021At: Al-Anbar, Iraq Volume: 2400, 040003 (2022). AIP Conference Proceedings 2400(1):040003
DOI: 10.1063/5.0112139
Abstract:
The use of digital media such as audio and video as a teaching media helps to achieve teaching goals better than following traditional teaching. It improves the engagement with the lecture and helps to deliver the education by lower cost and shorter time. Many companies use electronic Learning (e-learning) as an effective way to improve the knowledge, skills, and performance of their employees. For that, it became essential to ...investigate the factors that affect the usage of these systems. Many researches have performed on the factors affecting e-learning systems in different sectors, but studies into e-learning systems for Oil and Gas industry is limited. In this study, the Oil and Gas sector is targeted since we have found the use of distance training and learning is projected to increase in this industry especially with current unprecedented circumstances and the lockdown that are associated with Coronavirus 2019 Disease (COVID-19). Human factors that influence e-learning systems for Oil and Gas companies are targeted and investigated. An investigation had conducted in order to gain insights into human factors. Questionnaires were collected from 76 employees from the field. The findings show that learner’s education, system interface, computer literacy, organization support, and teaching methods were identified as factors affecting e-learning systems. This research will play an essential role in helping oil and gas companies to develop and improve the use of their e-learning systems. Read More
May 2021

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Comparative Analysis of Machine Learning Techniques using Customer Feedback Reviews of Oil and Gas Companies
Conference: ICSIE 2020: 2020 9th International Conference on Software and Information Engineering At: Cairo, Egypt
DOI: 10.1145/3436829.3436871
Abstract:
Sentiment analysis is the process of computationally identifying and categorizing opinions from a piece of text to determine whether the writer’s attitude towards a practical topic, products or services is positive, negative or neutral. In this study, Machine Learning techniques are used to perform sentiment analysis on Oil and Gas customer feedback data. We present a comparison of different classification algorithms used for opinion mining,... including Support Vector Machine (SVM), Naïve Bayes (NB), Instance Based Learning (IB3), Random Forest (RF), Partial Decision trees (PART), and Logit Boost (LB). Many studies have been performed on sentiment analysis in different sectors, but research into Oil and Gas customer feedback has been limited. Therefore, we have targeted a pathless sector, namely the Petroleum sector, where companies express their opinions towards specific products or services. Waikato Environment for Knowledge Analysis (WEKA) is used for experimental results. The WEKA environment is open source software entailing a collection of machine learning algorithms to solve data mining problems. The main aim of this study is to evaluate the efficiency of the above mentioned classifiers in terms of Precision, Recall, F-Measure and Accuracy. The findings of the comparison analysis indicate that the Naïve-Bayes classifier gives the best Accuracy of all classifiers. A small dataset could be considered as a limitation to our study due to the difficulty of gaining more datasets at the time of the research. However, this research will play a vital role for researchers in making decisions about the algorithm that they are going to use to solve their data mining problems. Read More
November 2020

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Investigating End User Errors in Oil and Gas Critical Control Systems
Conference: ICCTA '20: 2020 6th International Conference on Computer and Technology Applications At: Ankara, Turkey
DOI: 10.1145/3397125.3397135
Abstract:
System availability and efficiency are critical in the petroleum sector as any fault affecting those systems may negatively impact operations resources, such as money, human resources and time. Therefore, it has become important to investigate the reasons for such errors. In this study, human error has been targeted since a number of these errors is projected to increase in the sector. The factors that ...affect end user behavior are investigated in addition to an evaluation of the relation between system availability and human behavior. An investigation has been performed following the descriptive methodology in order to gain insights into human error factors. Questionnaires related to software/hardware errors and errors due to the end user were collected from 81 site workers. The findings indicate a potential relation between end user behavior and system availability. Training, experience, education, work shifts, system interface, usage of memory sticks and I/O devices were identified as factors affecting end user behavior, hence system availability and efficiency. Read More
April 2020