Mohammed Dallag’s Post

𝐭𝐡𝐞 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐨𝐟 𝐮𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐎𝐅𝐌 𝐜𝐫𝐞𝐚𝐭𝐢𝐯𝐞 𝐆𝐚𝐬 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐭𝐨 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐮𝐩𝐬𝐭𝐫𝐞𝐚𝐦 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐬𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞 𝐠𝐚𝐬 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐟𝐨𝐫 𝐠𝐚𝐬 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧. The below gas production optimization workflows perform a production data analysis from a sub-surface standpoint in a gas field reservoir. The workflow and techniques used in this approach uses specialized engineering processes to rapidly understand reservoir behavior and parameters, identify wells with anomalous behavior (over/underperformance) and also to recognize areas of opportunity.   Among the solutions provided in this project include a system for real-time data retrieval, visualization, and analysis of reservoir production performance. This is achieved by linking the integrated dynamic surveillance workflows with Avocet and Avalon. With these workflows, data such as daily gas rates, condensate rates, and wellhead pressures can be provided from one shared at the engineer’s desktop. Data Management and Data Quality Control Data Loading Automation. QC Tools. OFM Reservoir Management and Production Optimization Workflows. Production Performance Surveillance workflow.. Condensate Bank detection & remediation. Duong Forecasting and Recovery Estimation. Performance Prediction – Analytical Transient Flowing Material Balance. Liquid Loading. Flow Regime Identification. Completion Index (CI) and Production Index Candidate Screening. Unconventional Reservoir Optimized Completion Workflow.. Refrac Candidate Recognition Workflow.. Dynamic Reservoir Quality (DRQ) Workflows. RTA for unconventional gas. Heterogeneity Index Workflow. Heterogeneity Index. Well Interference Workflow. Gas Material Balance (P/Z Gas Forecast Workflow) Normalized maps. Completion Efficiency. Formation Damage Indicator Vintaging and EUR_Cum. Probability Plots. EUR Probability plots. EUR_Cum. Probability Plots. Workover and Stimulation Candidate System. Sensia Global Rockwell Automation SLB aramco ADNOC Group Kuwait Oil Company QatarEnergy Ministry of Petroleum and Mineral Resources - Egypt Petroleum Development Oman OPES OMAN Sonatrach Chevron Shell Ministry of Energy Society of Petroleum Engineers International Petroleum Engineers Association King Fahd University of Petroleum & Minerals - KFUPM Egypt Oil & Gas Committee Wafra Joint Operations (WJO) TotalEnergies #Avalon #oilandgas #surveillance #automation #webinar #SLB #oilandgas #oilfield #petroleumengineering #productionengineering #digtialtransformation #DOF #AI #ML #IOT #oilindustry #OFM #sensia #sensiaglobal #productionengineering #reservoirengineering#WellOptimization hashtag #ReservoirManagement #WOW #ProductionOptimization #Energy #Innovation #Webinar #Success

𝐆𝐚𝐬 𝐅𝐢𝐞𝐥𝐝 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐮𝐬𝐢𝐧𝐠 𝐎𝐅𝐌 Sensia understands the importance of production optimization, especially in gas production. As OFM plays a vital role in production analytics, we would like to provide you with an overview of how OFM can accomplish this. We have successfully deployed the following workflows to other clients and would like to work with you to allow your users to realize and utilize the full potential of OFM in their daily activities and analysis. Please cascade this information to your reservoir and production teams to select the topics they would like to work on. We look forward to hearing from you. OFM Reservoir Management and Production Optimization Workflows. RTA for unconventional gas. Production Performance Surveillance workflow.. Heterogeneity Index Workflow. Condensate Bank detection & remediation. Heterogeneity Index. Duong Forecasting and Recovery Estimation. Well Interference Workflow. Performance Prediction – Analytical Transient Gas Material Balance (P/Z Gas Forecast Workflow) Flowing Material Balance. Normalized maps. Liquid Loading. Completion Efficiency. Flow Regime Identification. Formation Damage Indicator Completion Index (CI) and Production Index Candidate Screening. Vintaging and EUR_Cum. Probability Plots. Unconventional Reservoir Optimized Completion Workflow.. EUR Probability plots. Refrac Candidate Recognition Workflow.. EUR_Cum. Probability Plots. Dynamic Reservoir Quality (DRQ) Workflows. Workover and Stimulation Candidate System. For any queries, feel free to contact me or https://lnkd.in/gkduWizV Sensia Global Rockwell Automation SLB aramco ADNOC Group Kuwait Oil Company QatarEnergy Ministry of Petroleum and Mineral Resources - Egypt Petroleum Development Oman OPES OMAN Sonatrach Chevron Shell Ministry of Energy Society of Petroleum Engineers International Petroleum Engineers Association King Fahd University of Petroleum & Minerals - KFUPM Egypt Oil & Gas Committee Wafra Joint Operations (WJO) TotalEnergies #Avalon #oilandgas #surveillance #automation #webinar #SLB #oilandgas #oilfield #petroleumengineering #productionengineering #digtialtransformation #DOF #AI #ML #IOT #oilindustry #OFM #sensia #sensiaglobal #productionengineering #reservoirengineering#WellOptimization hashtag #ReservoirManagement #WOW #ProductionOptimization #Energy #Innovation #Webinar #Success

𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐟𝐨𝐫 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐢𝐧 𝐚 𝐋𝐚𝐫𝐠𝐞 𝐂𝐚𝐫𝐛𝐨𝐧𝐚𝐭𝐞 𝐅𝐢𝐞𝐥𝐝 Please find below my paper with Maithem ALNakhli, Talal AlMousa, Ph.D. and @ahmed alnuaim 𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭 Managing an oil and gas reservoir requires the integration and analysis of several data elements, including reservoir, well, and production data from multiple sources. Quick and efficient access to this data will allow engineers to concentrate their efforts on the important tasks of analysis and decision-making, to improve reservoir and field performance. This paper presents an overview of the implementation of an automated workflow designed to support the management of a Saudi Arabian reservoir, by integrating real-time production data with other data elements. The workflow and techniques used require specialized engineering processes to fully understand the reservoir behavior and associated parameters to identify wells with anomalous behavior. Among the solutions provided in this workflow is a system for real-time data retrieval, visualization, and analysis of reservoir production performance. This is achieved by linking dynamic surveillance processes with real-time data, and allowing data to be provided in real-time at the engineer's desktop. To provide a coherent explanation of the production behavior, multiple analysis processes and tools were used. These included a workover candidate selection system, decline curve analysis, and heterogeneity index analysis. The workflow also included mapping and quality control tools to flag out data outliers. In addition, alarm systems were included to alert the engineer when sudden changes in reservoir performance occur in the field. The implementation of this workflow has resulted in considerable time savings, with pertinent data being automatically updated and used in the analysis, as opposed to manual processing, leading to improved efficiency in field management practices. The workflow has been deployed as an application of the Intelligent Field concept in a carbonate field in Saudi Aramco.  Downloaded from https://lnkd.in/gStMt4xY Sensia Global Rockwell Automation SLB aramco ADNOC Group Kuwait Oil Company QatarEnergy Ministry of Petroleum and Mineral Resources - Egypt Petroleum Development Oman OPES OMAN Sonatrach Chevron Shell Ministry of Energy Society of Petroleum Engineers International Petroleum Engineers Association King Fahd University of Petroleum & Minerals - KFUPM Egypt Oil & Gas Committee Wafra Joint Operations (WJO) TotalEnergies #Avalon #oilandgas #surveillance #automation #webinar #SLB #oilandgas #oilfield #petroleumengineering #productionengineering #digtialtransformation #DOF #AI #ML #IOT #oilindustry #OFM #sensia #sensiaglobal #productionengineering #reservoirengineering #WellOptimization #ReservoirManagement #WOW #ProductionOptimization #Energy #Innovation #Webinar #Success

𝐁𝐞 𝐦𝐨𝐫𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐞 𝐰𝐢𝐭𝐡 𝐎𝐅𝐌 OFM software enables turning data into decisions that can improve oil and gas field performance throughout the entire life cycle. Quick access to important information means that all the answers are in one place for managers, petroleum engineers, and geoscientists. Easy to use visualizations enable engineers to understand performance and answer questions quickly while unlocking anomalies, trends and exceptions that are hidden within the data. OFM gives you the powerful intelligence required for analyzing well & reservoir, from ad-hock analysis to interactive reporting and dashboard, to industry standard workflows and powerful predictive analysis. The openness capabilities enables integration across different domains to make use of all data & workflows processed. For more information and downloading OFM please visit the below links https://lnkd.in/gxEpRZTF https://lnkd.in/g-DNm32K Sensia Global Rockwell Automation SLB Oil & Gas Solutions from Rockwell Automation Swinton Technology aramco ADNOC Group Kuwait Oil Company QatarEnergy Ministry of Petroleum and Mineral Resources - Egypt Petroleum Development Oman OPES OMAN Sonatrach Chevron Shell Ministry of Energy | وزارة الطاقة Society of Petroleum Engineers International Petroleum Engineers Association King Fahd University of Petroleum & Minerals - KFUPM Egypt Oil & Gas Committee Wafra Joint Operations (WJO) TotalEnergies Chevron PetroChina International Iraq FZE Iraq Branch PetroChina International #Avalon #oilandgas #surveillance #automation #webinar #SLB #oilandgas #oilfield #petroleumengineering #productionengineering #digtialtransformation #DOF #AI #ML #IOT #oilindustry #OFM #sensia #sensiaglobal #productionengineering #reservoirengineering #WellOptimization #ReservoirManagement #WOW #ProductionOptimization #Energy #Innovation #Webinar #Success #spe #petroleum #oilandgas #oilfield #oil #oilandgaslife #oilandgasindustry #oilpatch #drilling #offshore #energy #renewableenergy #India #Innovation #Management #HumanResources #DigitalMarketing #Technology #Creativity #Future #Futurism #Entrepreneurship #Careers #Markets #Startups #Marketing #SocialMedia #VentureCapital #socialnetworking #OilGas #Digitalization #Automation #Technology

𝐎𝐅𝐌 𝐖𝐞𝐛𝐢𝐧𝐚𝐫𝐬 Below are the OFM webinars that could benefit your OFM users and facilitate their adoption process. You are encouraged to share this information with your team members. They will need to register to view the webinars and may opt to provide marketing consent if they wish to receive email updates regarding future webinars. OFM 23.1 is here (https://lnkd.in/g-xjG2C5) OFM 23.1 is here - 2 (https://lnkd.in/gAiN_z8B) Are you getting the most of OFM 22.1? (https://lnkd.in/gDqJzRbt) What's New in OFM 21.2 (https://lnkd.in/gGRVAWfM) Writing an OFM plugin is easier than you think (https://lnkd.in/gPjh5CNG) Meet the New OFM 21. Discover what is new in the latest release (https://lnkd.in/gRvfHG-e) OFM Type Well Curves: Working Towards the Type Well Curve Standard (https://lnkd.in/gjfUSQiA) Shortfall analysis and management in Avocet (https://lnkd.in/g2ZrVNCA) OFM. Production forecasting analysis workshop (https://lnkd.in/gVCmXKtd) Candidate recognition for production optimization in OFM (https://lnkd.in/gx9Rex5e) Waterflood monitoring and surveillance using OFM (https://lnkd.in/gsudThEP) What's new in OFM 2019 (https://lnkd.in/gprWugat) Sensia Global Rockwell Automation SLB Oil & Gas Solutions from Rockwell Automation Swinton Technology aramco ADNOC Group Kuwait Oil Company QatarEnergy Ministry of Petroleum and Mineral Resources - Egypt Petroleum Development Oman OPES OMAN Sonatrach Chevron Shell Ministry of Energy | وزارة الطاقة Society of Petroleum Engineers International Petroleum Engineers Association King Fahd University of Petroleum & Minerals - KFUPM Egypt Oil & Gas Committee Wafra Joint Operations (WJO) TotalEnergies PetroChina International Iraq FZE Iraq Branch PetroChina International  #Avalon #oilandgas #surveillance #automation #webinar #SLB #oilandgas #oilfield #petroleumengineering #productionengineering #digtialtransformation #DOF #AI #ML #IOT #oilindustry #OFM #sensia #sensiaglobal #productionengineering #reservoirengineering #WellOptimization #ReservoirManagement #WOW #ProductionOptimization #Energy #Innovation #Webinar #Success #spe #petroleum #oilandgas #oilfield #oil #oilandgaslife #oilandgasindustry #oilpatch #drilling #offshore #energy #renewableenergy #India #Innovation #Management #HumanResources

𝐎𝐅𝐌 𝐖𝐞𝐛𝐢𝐧𝐚𝐫𝐬 I am sharing some OFM webinars that may be of interest to OFM users. These webinars can help users speed up their adoption of OFM. Please feel free to pass these webinars on to anyone on your team who may be interested. They will need to register to watch the webinars and can opt in to receive marketing emails if they would like to be notified of future webinars - OFM 23.1 is here (https://lnkd.in/g-xjG2C5) - OFM 23.1 is here - 2 (https://lnkd.in/gAiN_z8B) - Webinar – Are you getting the most of OFM 22.1? (https://lnkd.in/gDqJzRbt) - What's New in OFM 21.2 (https://lnkd.in/gGRVAWfM) - Writing an OFM plugin is easier than you think (https://lnkd.in/gGGtTSNR) - Meet the New OFM 21. Discover what is new in the latest release (https://lnkd.in/gRvfHG-e) - OFM Type Well Curves: Working Towards the Type Well Curve Standard (https://lnkd.in/gjfUSQiA) - OFM. Production forecasting analysis workshop (https://lnkd.in/gVCmXKtd) - Candidate recognition for production optimization in OFM (https://lnkd.in/gx9Rex5e) - Waterflood monitoring and surveillance using OFM (https://lnkd.in/gsudThEP) - What's new in OFM 2019 (https://lnkd.in/gprWugat) Sensia Global Rockwell Automation SLB aramco ADNOC Group Kuwait Oil Company QatarEnergy Ministry of Petroleum and Mineral Resources - Egypt Petroleum Development Oman OPES OMAN Sonatrach Chevron Shell Ministry of Energy Society of Petroleum Engineers International Petroleum Engineers Association King Fahd University of Petroleum & Minerals - KFUPM Egypt Oil & Gas Committee Wafra Joint Operations (WJO) TotalEnergies #Avalon #oilandgas #surveillance #automation #webinar #SLB #oilandgas #oilfield #petroleumengineering #productionengineering #digtialtransformation #DOF #AI #ML #IOT #oilindustry #OFM #sensia #sensiaglobal #productionengineering #reservoirengineering #WellOptimization #ReservoirManagement #WOW #ProductionOptimization #Energy #Innovation #Webinar #Success

𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐭𝐨 𝐄𝐱𝐭𝐞𝐧𝐝 𝐭𝐡𝐞 𝐋𝐢𝐟𝐞 𝐨𝐟 𝐖𝐞𝐥𝐥𝐬 𝐰𝐢𝐭𝐡 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐂𝐨𝐫𝐫𝐨𝐬𝐢𝐨𝐧𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐁𝐚𝐬𝐞𝐝 𝐨𝐧 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 Please find below my paper with Mustafa Bawazir and @ali Al-Ali 𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭 Well integrity in the oilfield is one of the challenges that petroleum engineers face, as they seek to monitor well corrosion in the field to optimize well performance. Most of these fields can be categorized as brownfields, with some of the wells considered aged and have expected integrity issues. Achieving sustainable production targets with cost-effective and safe operations from these fields requires a close monitoring of the integrity of all elements involved in the production chain. Addressing these challenges requires the engineers to coordinate and analyze several data elements, including casedhole, openhole, reservoir, well, and production data from multiple sources. Another challenge is to create and automate a corrosion workflow that saves the engineers’ time and improves efficiency. In this paper, we introduce an innovative workflow that uses historical corrosion data while integrating multiple production and reservoir variables. The innovative approach uses machine learning (ML)algorithms to provide a powerful tool for workover (W/O) candidate selection and for optimizing the corrosion evaluation frequency, which are required in different areas of the fields. Different ML methods(random forest classification and neural net) were applied on training data. Different models were created, and the best model will be used. This offered key insights on the rate of corrosion and corrosion patterns. Further, the developed workflow was designed to be self-sustaining and act as a surveillance tool for monitoring the integrity of the wells. New animated conformance corrosion maps were created. The successful diagnosis through data analytics in a modern integrated software platform will assist in corrosion monitoring and decision-making. The multiple corrosion maps can be animated to visualize current corrosion profile and predict the corrosion over time, in addition to ranking the wells for W/O candidate selection. Downloaded from https://lnkd.in/gB4skETy Sensia Global Rockwell Automation SLB aramco ADNOC Group Kuwait Oil Company QatarEnergy Ministry of Petroleum and Mineral Resources - Egypt Petroleum Development Oman OPES OMAN Sonatrach Chevron Shell Ministry of Energy Society of Petroleum Engineers International Petroleum Engineers Association King Fahd University of Petroleum & Minerals - KFUPM Egypt Oil & Gas Committee Wafra Joint Operations (WJO) TotalEnergies #Avalon #oilandgas #surveillance #automation #webinar #SLB #oilandgas #oilfield #petroleumengineering #productionengineering #digtialtransformation #DOF #AI #ML #IOT #oilindustry #OFM #sensia

🔥The Rise of Digital Oilfield 🔥 📌Digital Oil Field🛢 Technology system that integrates high-volume data acquisition and transmission in real time for using data in operations centers, distributed computer systems. From these destinations, data are reproduced in virtual models and visualized in a cross-discipline collaborative environment by automated workflows, intelligent agents, and predictive analytic systems.An integrated DOF approach enables a company to maintain its oil and gas operations at optimal and safe operating conditions and ultimately maximize financial potential with minimum human intervention. DOF benefits as follows: 🟦 Optimize production  🟦 Operate more efficiently 🟦 Collaborate across teams 🟦 Enhance health and safety 🟦 Improve environmental compliance 📌 You can read more in the post👇🏻 Also this is the source of the post or if you need to read more about the subject which is really interesting for all petroleum engineers Because it focuses on the Future of the industry and how it will evolve. 📌 Definition of DOF https://lnkd.in/d4yCg7JB 📌An article about the future of the DOF https://lnkd.in/dv8WX6Hv 📌Online webinar about it  https://lnkd.in/dwpv2hXk 📌 Podcast about Dof by expert in the DOF https://lnkd.in/diHMfbU7 📌List of paper about DOF  https://lnkd.in/dPMY8Bed 📌 Article https://lnkd.in/dngGsW9K  #DigitalOilfield #OilAndGas #iraq #jobs #DOF #kuwait #ksa #oman #PetroleumEngineering #linkedin #Energy #FutureofEnergy

How good AI can influence in corrosion monitoring for oil and gas companies? Yes -to shorten the time, reliable, inaccessible area, cost reduction. It was great to participate in the workshop. Thanks to AMPP Oman Chapter. #AMPP Oman #Artificial Intelligence #Data Science #Corrosion Monitoring

🚀 Exciting News! Our technical paper under theme **Data-Driven Analytics in Oil and Gas** has been published at ADIPEC 2024! A heartfelt thank you to everyone who attended my session yesterday and engaged in meaningful discussions.Overwhelming response of attendees and interest in our work truly inspires us to continue pushing boundaries of data analytics in the energy sector Check out our paper and let’s keep the conversation going as we strive for innovation in oil and gas Kudos Ahmed M. Saad, Ph.D. Sharif Abdelgawad Shalaby, PhD, PE #ADIPEC2024 #DataDrivenAnalytics #OilAndGas #