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Abstract This paper will discuss methods, best practices, and lessons learned to optimize a highly successful Saudi Aramco Upstream Professional Onboarding Program (UPOP), meeting the business needs to deliver the same program in a shorter time frame. The need to optimize the program emerged due to an influx of new hires in conjunction with a global pandemic that reduced the number of participants per class due to social distancing measures. UPOP was originally designed to walk newly hired Upstream professionals through the upstream lifecycle by using a project that demonstrates the upstream workflow. Participants in this program gain confidence by working on real projects and are expected to give presentations to senior employees explaining the key decisions at each stage of the upstream lifecycle. These activities enhance their skills in leadership, networking, presentation, and communication. This project-based onboarding program was originally designed by the Upstream Professional Development Center (UPDC) as an 8-week program. As the program has reached a mature stage with over forty (40) successful deliveries and multiple opportunities to apply participant feedback, it was recently optimized to five (5) weeks for in-class delivery without sacrificing quality. The global pandemic pushed the need for a 3-week Virtual Instructor Led Training (VILT) version. The development process involved updating and developing program content to remove scrap learning while enhancing key outcomes. The UPDC team of geoscience subject matter experts (SMEs), petroleum engineering SMEs, soft skills instructors, and learning technology professionals identified and removed course content that was planned to be covered in other courses planned in the young professionals’ prescribed learning curriculum. The revised UPOP optimized participant in-class training to maximize participants’ on-the-job performance by removing redundancies and providing new hires with an overview of the company's upstream lifecycle. Additionally, creating an optimized version of the onboarding program has made it possible to offer the program four times per year to meet the increasing demand for onboarding new hires. The current customized UPOP is designed to minimize the amount of time required for new hires to complete the program without sacrificing content for on-the-job tasks and objectives. The number of sessions per year has doubled, and the number of participants has increased by 75% since the program's inception in 2010.
- Government > Regional Government > Asia Government > Middle East Government > Saudi Arabia Government (1.00)
- Energy > Oil & Gas > Upstream (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Reservoir Description and Dynamics > Reserves Evaluation > Estimates of resource in place (1.00)
- Management > Professionalism, Training, and Education > Personnel competence (1.00)
- (2 more...)
Establishing the Sustenance and Cutting-Edge Operationalisation Strategy to Unlock Company-Wide Potential Value Thru Automated Production Enhancement Screening
Azhar, Nur Afrina Inani Zul (PETRONAS Carigali Sdn Bhd) | Halim, Fatin Liyana A (PETRONAS Carigali Sdn Bhd) | Sidek, Sulaiman (PETRONAS Carigali Sdn Bhd) | Nawi, Wan Zul-atfi Mat (PETRONAS Carigali Sdn Bhd) | Khamsani, Nik Zarina Nik (PETRONAS Carigali Sdn Bhd) | Mokhlis, Mustaqim (SLB) | Hazali, Nurdini Alya (SLB) | Fuenmayor, Roberto (SLB) | Saifuddin, Nabil (SLB)
Abstract This paper discussed the operationalization of an automated and integrated system to support Production Enhancement (PE) opportunity generation and workflow processes driven by data analytics. The digital solution focuses on prescriptive engines to calculate variables such as potential gain, Locked-In-Potential (LIP) and behind casing potential using big data such as reservoir properties, historical production, well intervention history and petrophysics interpretation. Additionally, the solution provides constraint detection for each well using an Analytic Hierarchy Process (AHP) on conventional petroleum engineering workflows. The key reasons for adopting this methodical approach were primarily motivated by the desire to reap the benefits of more cost-effective field production and recovery within an efficient process cycle. The essential advantages driving this initiative are automated and systematic opportunity generation and rating, which are achieved through the utilization of advanced data analytics and Machine Learning (ML). This digital solution is currently available in over forty (40) different fields, and the objective of this paper is to demonstrate the operationalization strategy that was utilized to gain the maximum value possible from the workflow. The goal is to connect people with the enhanced workflow, which will make it possible for workforce upskilling and foster a better collaborative work environment to boost field productivity and work process efficiency. The operationalization strategy was successful in achieving its objectives and is founded on the following three (3) key methodologies: 1) Operationalization, 2) Optimization, and 3) Value Creation. This digital solution has enabled engineers to identify and rank PE opportunities more quickly and efficiently, leading to a significant increase in field production and recovery, as well as a reduction in costs. Apart from the technical benefits, it has had a positive impact on the workforce. By automating many of the tasks involved in the PE and Idle Well Reactivation (IWR) processes, engineers have more time to focus on strategic and value-added activities, increasing workforce satisfaction and productivity.
- Reservoir Description and Dynamics (1.00)
- Production and Well Operations > Well Intervention (1.00)
- Management > Professionalism, Training, and Education > Communities of practice (1.00)
- (4 more...)
First Successful Hydraulic Fracture Treatment in Deep Pre-Khuff Clastics: Lessons Learned from the Implementation of Cutting-Edge Technology Offshore Abu Dhabi
Buijs, H. (Wintershall Dea) | Ibrahim, M. (Wintershall Dea) | Basioni, Mahmoud (ADNOC Upstream, Abu Dhabi, United Arab Emirates) | Alloghani, J. A. (ADNOC Upstream, Abu Dhabi, United Arab Emirates) | Elmahdi, A. (ADNOC Upstream, Abu Dhabi, United Arab Emirates) | Sayed, S. (ADNOC Upstream, Abu Dhabi, United Arab Emirates) | Swedan, T. (Wintershall Dea) | Azoug, Y. (ADNOC Upstream, Abu Dhabi, United Arab Emirates) | Al Kaabi, A. (ADNOC Upstream, Abu Dhabi, United Arab Emirates) | Bulekbay, A. (ADNOC Upstream, Abu Dhabi, United Arab Emirates) | Efnik, M. (ADNOC Upstream, Abu Dhabi, United Arab Emirates) | Al Hammadi, A. E. (ADNOC Upstream, Abu Dhabi, United Arab Emirates) | Al Kindi, R. K. (ADNOC Upstream, Abu Dhabi, United Arab Emirates) | Al Aryani, F. M. (ADNOC Upstream, Abu Dhabi, United Arab Emirates) | Bregar, U. B. (ADNOC Upstream, Abu Dhabi, United Arab Emirates) | Nuriakhmetov, R. (ADNOC Off-shore, Abu Dhabi, United Arab Emirates)
Abstract This paper describes the development and implementation of a multi-frac completion strategy that improved the well performance by more than 500% in the first successful hydraulic fracture treatment pumped in deep Pre-Khuff targets. The primary target reservoir is a deep tight gas sandstone that can be found at depths exciding 16,000 ft with temperatures above 350°F. Given the reservoir characteristics, primarily its low permeability, hydraulic fracturing is required to achieve commercial production rates. The design of the fracture stimulation treatment presented several challenging conditions including high formation temperature, closure stress, and fracture pressure with the potential for post treatment proppant flowback in an offshore environment. The learning curve was collapsed by interdisciplinary evaluation of diverse data sets from legacy and newly drilled wells. Mechanistic models were employed in a grid-oriented planar 3D hydraulic fracture simulator to optimize treatments and to understand changes in production performance related to specific multi-fractured completion strategies, guiding the optimization process. This work led to the successful implementation nano-proppants, pseudo-stable fracturing fluids and, among other technologies, specialized perforation guns designed for low stress anisotropy conditions. This paper will provide insights on the results and lessons learned from the implementation of cutting-edge hydraulic fracturing technology that provided the means to overcome challenges to unlock hard to recover reserves.
- North America > United States > Texas (1.00)
- Europe (0.93)
- Asia > Middle East > UAE > Abu Dhabi Emirate > Abu Dhabi (0.51)
- Geology > Geological Subdiscipline > Geomechanics (1.00)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock > Mudrock (0.46)
- South America > Argentina > Patagonia > Neuquén > Neuquen Basin > Vaca Muerta Shale Formation (0.99)
- Asia > Middle East > UAE > Abu Dhabi > Arabian Gulf > Rub' al Khali Basin > Ghasha Concession > Umm Shaif and Nasr Block > Umm Shaif and Nasr Field > Umm Shaif Field > Arab Formation (0.99)
- North America > United States > Texas > Permian Basin > Yeso Formation (0.98)
- (23 more...)
- Well Completion > Hydraulic Fracturing > Fracturing materials (fluids, proppant) (1.00)
- Well Completion > Completion Installation and Operations > Perforating (1.00)
- Reservoir Description and Dynamics > Reservoir Fluid Dynamics > Flow in porous media (1.00)
- (3 more...)
Re-Skilling Young Sarawak's Talents into Oil and Gas Workforce, A Noble Social Engagement to the Community
Banda, M. E. Yanez (SLB-NExT, Houston, TX, USA) | Johan, Z. J. (SLB-DnI, Kuala Lumpur, Malaysia) | Dubois, A. (SLB-NExT, Dubai, UAE) | Abang, D. H. (Center of Technology Excellence, Kuching, Sarawak, Malaysia) | Musa, N. (Center of Technology Excellence, Kuching, Sarawak, Malaysia)
Abstract Sarawak, a state in Malaysia has long been the key contributor to probable and proven (2P) Petroleum reserves, in which the state bearing and account to 60.8% of total National reserves. Known for its untapped reserves and with sturdy relationship with partners and investors to spur growth to national economy for decades, now it just the right time for the State to focus on its social contribution to Sarawak's young talents in the energy industry.
- Reservoir Description and Dynamics > Formation Evaluation & Management (1.00)
- Production and Well Operations (1.00)
- Health, Safety, Environment & Sustainability > Safety (1.00)
- (4 more...)
Reservoir Monitoring Data Driven Workflow Automation in Giant Onshore Oil Fields - An Integrated Approach for Resources Optimization and Improving Value of Information
Reddicharla, Nagaraju (ADNOC Onshore, Abu Dhabi, United Arab Emirates) | Rubio, Erismar (ADNOC Onshore, Abu Dhabi, United Arab Emirates) | Alshehhi, Shamma Saeed (ADNOC Onshore, Abu Dhabi, United Arab Emirates) | Naggar, Hossam El Din Mohamed El (ADNOC Onshore, Abu Dhabi, United Arab Emirates) | Selvamoorthy, Geetha (ADNOC Onshore, Abu Dhabi, United Arab Emirates) | Mathew, Jim (ADNOC Onshore, Abu Dhabi, United Arab Emirates) | Kumar, Amit (ADNOC Onshore, Abu Dhabi, United Arab Emirates) | Ali, Mayada Sultan (ADNOC Onshore, Abu Dhabi, United Arab Emirates)
Abstract The value of delivering and sustaining excellence in reservoir management is essential for enhanced recovery and meeting production objectives. To ensure sustainable reservoir management assets must continuously monitor, analyze and make decision to optimize key performance results and indicators. Aiming to improve efficiency and optimization in reservoir monitoring process, ADNOC Onshore established on of its kind digital data driven advanced automation system for addressing challenges such as collaboration, prioritization & optimization, resources unavailability, minimizing production deferment and improve activity execution performance. This paper presents a success story how ADNOC Onshore has digitally transformed reservoir monitoring process in Giant Onshore fields This digital advanced automation is a unified solution for data gathering and data management, data driven analytics and collaborative business workflows. In this automation five critical workflows have been digitized, they include reservoir surveillance well candidate selection for data acquisition, rig-less resource planning & optimization, schedule optimization, monitoring data management and execution performance. All these components are governed by standard business processes among asset development and operations stakeholders. Automated Well candidate selection leverages data driven analytics by integrating well performance, historical data, integrity, accessibility, workovers, well events and offset wells based on reservoir management guidelines. As a next step activity prioritization is automated based on business impact and urgency before plan is sent for approval. The system estimates rig-less resources requirement and cost. The system allows to carry out rig-less planning and scheduling and shuffle activities based on resources availability. The scheduling module retrieves major shut down plans and minimizes production deferment. The System governs surveillance raw data, engineering analysis and interpretations as a single repository. Interactive dashboards are provided for monitoring activity execution performance as KPIs and follow-ups. This implementation has enabled the asset teams to maximize the lifecycle value of hydrocarbon producing fields t that achieves the right balance between achieving production targets and information gathering. The automation system has been successfully implemented in four giant onshore producing fields by promoting collaboration with an integrated effort including Operations, Production engineering, Petroleum Engineering, reservoir engineering and well services. This implementation has improved the efficiency and reducing decision making process by 70%. Data management efforts have been reduced by 75% by integrating data generated at different business process steps with corporate data sources. 10% - 12% of total cost has been saved in reservoir surveillance activities through resources optimization and system has enabled to carry out surveillance activities on right well candidates through this efficient automated process. Cost optimization takes central stage due to market dynamics in current conditions, this digital solution drives asset engineers to generate optimum plans with minimum efforts. The successful implementation case study presented herewith, demonstrates pragmatic approach followed in this data-driven automation and value generated utilizing this novel methodology.
- Energy > Oil & Gas > Upstream (1.00)
- Government > Regional Government > Asia Government > Middle East Government > UAE Government (0.45)
- Production and Well Operations (1.00)
- Data Science & Engineering Analytics > Information Management and Systems > Knowledge management (0.89)
- Reservoir Description and Dynamics > Formation Evaluation & Management > Drillstem/well testing (0.70)
- (2 more...)
- Information Technology > Information Management (1.00)
- Information Technology > Data Science (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Planning & Scheduling (0.87)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.61)
Abstract Gamification, the application of game elements and mechanics in nongame contexts, has emerged as a compelling approach to learning. It taps into our natural inclination for play and competition, and it is transforming learning into an enjoyable experience. Gamification is a game changer, as it boosts engagement, increases motivation, provides a meaningful experience, and accelerates the adoption of technology. This transformative approach revolutionizes training, making it more effective, interactive, and inspiring, while nurturing a lifelong love for learning and growth. This paper provides an in-depth examination of the development of two distinct games and their practical integration into training deliveries. It explores the advantages of incorporating games into the learning process, considering both the student's perspective and the corporate viewpoint.
- Instructional Material (0.69)
- Overview > Innovation (0.66)
- Leisure & Entertainment > Games > Computer Games (1.00)
- Energy > Oil & Gas > Upstream (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (0.96)
- Management > Professionalism, Training, and Education > Communities of practice (0.69)
- Data Science & Engineering Analytics > Information Management and Systems > Knowledge management (0.69)
Abstract This paper presents a successful human resources development model for paraprofessional personnel in an engineering entity. A healthy organization must sustain reliable workforce through comprehensive and well-structured development. A development program for Engineering Aides (EA) and Assistant Engineers (AE) was mandated to ensure progressive development throughout paraprofessional career life. The main objective of the program is to foster knowledge of paraprofessionals through proper integration between soft skills and technical engineering concepts in a steady and efficient manner. In addition to the knowledge building process, an administrative structure has been introduced to ensure proper governance of the program as well as sustain progression and alignment to the organizational strategy towards human resources development.
- Instructional Material > Course Syllabus & Notes (1.00)
- Overview (0.68)
- Well Drilling (1.00)
- Well Completion > Completion Installation and Operations (1.00)
- Reservoir Description and Dynamics > Formation Evaluation & Management > Drillstem/well testing (1.00)
- (6 more...)
- North America > United States (1.00)
- Asia > Middle East (1.00)
- Africa (1.00)
- Europe > United Kingdom > North Sea (0.28)
- Geology > Geological Subdiscipline (0.93)
- Geology > Rock Type (0.67)
- Energy > Oil & Gas > Upstream (1.00)
- Education > Educational Setting > Higher Education (1.00)
- North America > United States > Texas > Permian Basin > Yeso Formation (0.99)
- North America > United States > Texas > Permian Basin > Yates Formation (0.99)
- North America > United States > Texas > Permian Basin > Wolfcamp Formation (0.99)
- (27 more...)
- Well Drilling (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Near-well and vertical seismic profiles (1.00)
- (7 more...)
- Europe (1.00)
- Africa (1.00)
- South America (0.67)
- (2 more...)
- Personal > Honors (1.00)
- Overview > Innovation (1.00)
- Instructional Material > Course Syllabus & Notes (1.00)
- (3 more...)
- Transportation > Infrastructure & Services (1.00)
- Transportation > Ground > Road (1.00)
- Media (1.00)
- (14 more...)
- Well Completion (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Management > Strategic Planning and Management > Project management (1.00)
- (9 more...)
Organic Growth of Hydraulic Fracturingin High Perm Reservoirs – Asset M Case Study
Kindi, O. (Petroleum Development Oman) | Ahmed, M. (Petroleum Development Oman) | Al Riyami, S. M. (Petroleum Development Oman) | Konwar, A. A. (Petroleum Development Oman) | Ghaithi, A. (Petroleum Development Oman) | Kindi, S. (Petroleum Development Oman)
Abstract Hydraulic fracturing has proven success to unlock Hydrocarbon production from tight reservoirs in Petroleum development Oman for many years since 1990s. however given the high cost and extensive operation footprint, the Frac was not a favorable option in the South assets where sandstones can vary in permeability between 0.1- 4 Darcy permeability. The objective of this work to is show case Asset M organic growth in Hydraulic fracturing application and the enablers that supported this journey. Hydraulic fracturing is considered an expensive technology compared to other stimulation techniques and it requires a lot of technical work to screen the right candidates, plan and design the Frac operation. Asset M is a mix of over 20 fields ranging in size, reservoir qualities and Oil properties. This introduces additional challenge in frac candidate selection and design. To overcome these constrains the team have looked at potential techniques that could reduce the cost and accelerate the technical evaluation and frac program maturation. In this paper, the cost saving initiatives will be highlighted along with the frac design and execution simplification done. High level performance compared to baseline of each well will also be shared. The Organic growth of Hydraulic fracturing in Asset M is truly astonishing. The Asset started with 2 candidates only in 2019 to assure success and based on the outcomes, Hydraulic fracturing has been growing since with 12 wells stimulated with Hydraulic fracturing in 2022. The increase is also linked to the simplified operational approach and the high oil gain associated to these activities where in some of the wells oil gain exceeded 400%. The work presented here will be the first time to show case Asset M frac journey both from technical and commercial impact. It is a very good case study for replication across other E&P operators which are looking for more oil production beyond the easy oil gain portfolio.
- Well Completion > Hydraulic Fracturing (1.00)
- Management > Professionalism, Training, and Education > Communities of practice (0.85)
- Data Science & Engineering Analytics > Information Management and Systems > Knowledge management (0.85)
- Reservoir Description and Dynamics > Reservoir Fluid Dynamics > Flow in porous media (0.71)