The SPE has split the former "Management & Information" technical discipline into two new technical discplines:
- Management
- Data Science & Engineering Analytics
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Abstract World energy demand is increasing. The next trillion barrels will be harder to access, harder to find and will be in ever smaller accumulations. New discoveries will undoubtedly be more difficult to produce and will have to be done with fewer and dwindling experienced resources. The industry has begun to accept change due to their desired demand for improved efficiencies. These efficiencies include integrating the workforce (both service and operating groups), improving quality and efficiency of workflows, and improving the technologies that are feeding into the "Digital Asset™" service. Such technologies are better formation evaluation measurements, better geological models, and faster reservoir simulators, better able to integrate production data for comparison to the geological models. Connecting people and improving technology and workflows allow the right decisions to be made at the right time while spending the least amount of effort. Today, necessity drives new and more dynamic integrated operations; and more efficient working relationships are evolving. This paper will discuss the challenge of doing more with less, exploiting more difficult reserves while lowering costs, increasing profits while reducing risk, and speeding up work processes while cutting non productive time. The answers lie with in a series of steps towards cultural change: utilizing real-time collaborative environments allowing simple workflow methodologies to be applied and feeding improved measurements into improved models while continuous optimization occurs while simultaneously actual operations occur. Introduction While there is currently significant debate as to the future of oil demand, the consensus is that the current crisis will be relatively short-lived and that oil demand will return to moderate growth globally. The demand for energy as a whole will follow this same pattern. Although other forms of energy will be brought on line at varying times and intensities, none are expected to have a significant impact for the next 20–35 years. Studies suggest that currently 70% of the world's oilfields are greater than 30 years old, and the replacement rate is slightly less than 2% per year. Finding, developing, producing and refining of oil will remain a significant part of our lives for the next quarter century. We as an industry are entering a new age characterized by new and innovative ways of finding and developing reserves. Operators and service companies are identifying opportunities to do more with less and to establish the best and right time decisions for finding, planning, drilling and completing wells /fields today. Recently published industry data suggest the median age of geo-scientist, petroleum engineers and geologists is between 48 and 50. New geo-science entrants to the industry peaked in the early 90's and the number has reached a plateau. The industry is not hiring enough individuals to fill the seats of the aging subject matter experts who will be retiring in the next dozen years, although some will continue working in some capacity as contractors in the industry. We are also facing challenges with reduction of bed space for offshore installations while having to deliver expertise to more rigs with fewer expert resources. These remarks assume that the reductions in force and rig count are short-lived. However, if the low energy demand cycle is long-lived, the reduced workforce and reduced rig counts will call for a still greater need for improved efficiencies. The industry will undoubtedly have to adopt better ways to find, drill, complete, and produce hydrocarbon reservoirs. The industry has choices in how prospects are generated, how assets are developed, and how to drill and complete, while evaluating the risk compared to the financial outcome of producing fields to their maximum potential. Note that the choices are not limited to the drilling process but includes formation evaluation, prospect generation, and development of the prospect, monitoring drilling, running and design of bits, fluids, stimulation, completions, and intervention — in other words all aspects of well construction, placement, completion and production processes.
application, Artificial Intelligence, digital asset service, Directional Drilling, drilling data acquisition, drilling measurement, drilling operation, Efficiency, expertise, information, infrastructure, knowledge management, operation center, operator, optimization problem, personnel, production control, production monitoring, real time system, reduction, remote operation center, Reservoir Characterization, Reservoir Surveillance, rig, RTOC, spe 122508, Upstream Oil & Gas, vendor, Wellbore Design, wellbore integrity, workflow
Country:
- Europe (1.00)
- Asia > Middle East (0.93)
- North America > United States > Texas > Dawson County (0.34)
Geophysics: Geophysics > Seismic Surveying > Passive Seismic Surveying > Microseismic Surveying (1.00)
Oilfield Places: Asia > Middle East > Saudi Arabia > Eastern Province > Al-Ahsa Governorate > Arabian Basin > Widyan Basin > Khurais Field (0.99)
SPE Disciplines:
Technology:
From Standard Operations via Re-manning and Remote Support to Automated Advisory Systems; a Stepwise Development Program for Remote Operations Over a Decade
Sæverhagen, Erland (Baker Hughes) | Thorsen, Arve K. (Baker Hughes) | Dagestad, Jan Ove (Baker Hughes) | Svensson, Inge (Baker Hughes) | Grøvik, Lars Olav (Statoil)
Abstract For anyone involved in organizational changes, people development, optimization of work processes, and reduction in overall risk exposure at the rigsite, the ultimate goal is to develop automation where possible. Automation has been used for years in the car industry, and the oil industry is slowly adopting the potential of automated systems for the drilling environment, gradually integrating all associated processes or important downhole data in full range. Baker Hughes, with strong support from Statoil, has since 1999 developed a remote operations model based on the Baker Expert Advisory Centre/Operations Network /BEACON) platform, starting with remote operations monitoring from an onshore operations centre. Subject matter experts were placed in the operations centre to process the data in real time, leading to significant changes in work processes both on- and offshore. New positions were developed and new shift plans were implemented. As new downhole tools were developed new service levels such as drilling optimization, ECD management and reservoir navigation services were introduced, all remotely from the operations centre requiring no additional personnel at rigsite, all made possible by rig connectivity, data transfer capabilities and proper work process delineation. Tomorrow's solution will integrate all available surface and downhole data, and automated advisory systems will deliver advice based on a wider range of combined real-time data, as well as historical databases and best practice, empowering individual judgment and assumptions. This change will significantly contribute to improved operational performance as well as risk mitigation and reduced Health, safety and Environment (HS&E) exposure. Drilling process automation is something the industry has been anticipating. This paper will discuss the automation potential with respect to remote operations ability, the required development of traditional field positions, collaboration models (e.g., operator/service provider/rig contractor), improved operational efficiency and expectations for operational cost reductions.
Artificial Intelligence, automated advisory system, drilling operation, geosteering, information fusion, knowledge management, operation, operation center, operations centre, personnel, project management, raci chart, real time system, remote operation, remote operation center, remote operational center, Reservoir Navigation, responsibility, rigsite, spe 150155, stepwise development program, strategic planning and management, subject matter expert, Upstream Oil & Gas, work process
Country:
- Europe (0.93)
- North America > United States > Texas (0.46)
Oilfield Places:
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054 > Block 31/6 > Troll Field > Sognefjord Formation (0.99)
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054 > Block 31/6 > Troll Field > Heather Formation (0.99)
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054 > Block 31/6 > Troll Field > Fensfjord Formation (0.99)
- (9 more...)
SPE Disciplines:
- Management > Professionalism, Training, and Education > Communities of practice (1.00)
- Data Science & Engineering Analytics > Information Management and Systems > Knowledge management (1.00)
- Data Science & Engineering Analytics > Information Management and Systems > Artificial intelligence (1.00)
- (2 more...)
Technology:
Abstract Automation of well construction combines process and machine automation to deliver cost savings and efficiency gains, alongside safer operations and faster collaborative decision making. Integration of well planning and execution improves performance, minimizes risk, and creates the framework for batch control of well construction. Generating intuitive and standardized insights from historical and live data streams enables reducing uncertainty and driving technical limit performance at every stage, for the safest and most economical well delivery possible. Remote operations have become standard practice in well construction and drilling automation is rapidly growing. Machine-learning based models can predict hazards and best operating parameters. The paper describes how these elements are combined to easily analyze offset well data from multiple sources for performance benchmarking, deep technical analysis, and risk management. Integration with physics-based models (the digital-twin) establishes a coherent execution roadmap, a real-time digital recipe that is directly used in rigsite automation. During execution, model assumptions are replaced by live sensor data. Those models are then re-calculated in real-time for automated process control and become available for future planning. The viability of integrated well planning and automation systems is no longer disputed, and industry focus has shifted towards proving the potential of this approach. Pertinent case examples from drilling operations are examined in the paper, including optimizing performance through harnessing analytics of large data sets from offset wells, and on exploring the integration of AI techniques for risk prediction and mitigation. The insights gained, coupled with the digital well plan, are instrumental for optimization and automation of tripping equipment in and out of hole, and of drilling ahead operations. Integrating the digital well plan with "lessons learned" from the analysis of all available data and using a digital-twin concept with physics-based and data driven models, provides the foundation for the next step in process automation: the creation of digital procedures for process automation of well construction. This capability extends the cost savings and efficiency gains realized in recent years through remote operations.
application, Artificial Intelligence, asia government, automation application, calculation, Conference, construction, Directional Drilling, drilling operation, europe government, execution, Exhibition, forshaw, information fusion, integration, machine learning, measurement and control, middle east oil, optimization, paper, process automation, process control and automation, requirement, Software Engineering, united states government, Upstream Oil & Gas, well planning, Wellbore Design, wellbore integrity
Country:
- Europe (0.96)
- Asia > Middle East (0.69)
- North America > United States > Texas (0.28)
SPE Disciplines:
- Well Drilling > Wellbore Design > Wellbore integrity (1.00)
- Well Drilling > Well Planning (1.00)
- Well Drilling > Drilling Operations > Directional drilling (1.00)
- (2 more...)
Technology:
- Information Technology > Software Engineering (1.00)
- Information Technology > Software (1.00)
- Information Technology > Communications (1.00)
- (3 more...)
Remote Drilling Solution Delivers Consistency with the Use of an Automated Drilling Director: Case Studies from Kuwait
Farhi, Nadir (Halliburton) | Marck, Julien Christian (Halliburton) | Sanyal, Aniket (Halliburton) | Abdel Samie, Mohamed Ahmed (Halliburton) | Eldemerdash, Moataz Mahmoud (Halliburton) | Safar, Ali Hussein (Kuwait Oil Company) | Al-Khaja, Mohamed Jassem (Kuwait Oil Company) | Malik, Abdullah Ahmad (Kuwait Oil Company) | Mohamed, Jassem Ali (Kuwait Oil Company) | Haddad, Hassan Salman (Kuwait Oil Company) | Al-Mulairi, Mohamed Mansour (Kuwait Oil Company) | Alotaibi, Youssef Eid (Kuwait Oil Company) | El-Enezi, Sager Hammad (Kuwait Oil Company) | Alotaibi, Youcef Eid (Kuwait Oil Company) | Jamal, Jamal Ahmad (Kuwait Oil Company) | Rathuri, Sushil Kumar (Kuwait Oil Company)
Abstract The Automated Drilling Director, a software application for drilling automation, integrates a physics-based model of the drilling system with machine learning and optimization algorithms to project the well path, monitor collision risk, manage vibrations, and control steering in real time automatically. With "intelligent" rotary steerable systems (RSSs), these steering decisions can be downlinked directly to the tool, thus, fully closing the loop around steering decision-making. Implementation of the Automated Drilling Director within a remote drilling center (RDC) enables the drilling operations to be conducted remotely and effectively with less rig site personnel. The resulting decisions are consistent and reliable, while a team of subject matter experts (SMEs) monitor the operations to optimize well assets, ensuring that the pre-job design of service (DoS) is executed properly. The validation of this innovative technology and approach in Kuwait, amongst others, opens the door to a new way of doing business, where resources, experience, and data are combined in the most efficient manner to improve consistency, as well as to maximize the value of the operators’ assets.
algorithm, Artificial Intelligence, automated drilling director, deflection, directional driller, Directional Drilling, discrepancy, Drilling Equipment, drilling operation, inclination, Kuwait, machine learning, objective, presented, real time system, recommendation, remote drilling solution deliver consistency, tendency, toolface, trajectory design, Upstream Oil & Gas, well planning
Country:
- North America > United States (1.00)
- Europe (1.00)
- Asia > Middle East > Kuwait (0.86)
Oilfield Places:
- Asia > Middle East > Kuwait > Jahra Governorate > Arabian Basin > Widyan Basin > Bahrah Field > Marrat Formation (0.99)
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054 > Block 31/6 > Troll Field > Sognefjord Formation (0.98)
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054 > Block 31/6 > Troll Field > Heather Formation (0.98)
- (10 more...)
SPE Disciplines:
Technology:
Abstract The offshore industry has always been at the vanguard of technical innovation and this is not about to change. The next wave of technology will not come, however, from new ways to bend the physical world to our will with steel and human power but from bits and bytes through digitalisation. Digitalisation is not new to our industry. Now the technology is cheaper and faster and the amount of data and level of connectivity are increasing exponentially, the application of digital technologies can deliver at an affordable cost. The energy industry is emerging from a lower-price environment in better shape and with more resilience and an increased focus on capital efficiency, cost performance and safety. The industry is also ready for a digital transformation that offers a big, if not the biggest yet, opportunity to improve efficiency in our existing operations even further. This transformative potential has been recognized for some years. What has been missing is a comprehensive approach for applying digital technologies successfully at scale in the oil and gas industry. This reflects one of the significant differences with previous waves of innovation: most of the benefit for existing businesses will come from replication and rapid improvement cycles of across many assets and projects. In addition, digitalisation also opens up the opportunity for new business models that could change the entire industry structure. This paper explores an approach to digitalisation that draws on successful use cases that have already realized significant value in Shell's operations. It identifies the underlying principles of the digitalisation strategy, including data strategy, approach to insourcing versus outsourcing and methodology of scaling up. The required success factors that underpin digitalisation are also explored: capability building for both people and IT/data systems; how to organize the digital deployment; and the required leadership, culture and way of working attributes. Practical examples and insights from Shell's digitalisation journey will be provided.
application, Artificial Intelligence, business model, Collaboration, digital center, digital technology, digitalisation, digitalisation journey, Efficiency, Engineer, expertise, information management, machine learning, new business model, offshore industry, Offshore Technology Conference, operation, printing, project management, Reservoir Characterization, strategic planning and management, Upstream Oil & Gas
SPE Disciplines:
Technology:
- Information Technology > Information Management (1.00)
- Information Technology > Communications (1.00)
- Information Technology > Data Science (0.88)
- Information Technology > Artificial Intelligence > Robots (0.47)
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