DEMONSTRATION STUDY: Approaching oil and gas pad reclamation with data management: A framework for the future

This chapter is concerned with the role of oil and gas in the economic development of the global economy. It focuses on the context in which established and newer oil and gas producers in developing countries must frame their policies to optimize the benefits of such resources. It outlines a history of the issue over the last twenty-five years. It considers oil and gas as factor inputs, their role in global trade, the role of oil prices in the macroeconomy and the impact of the geopolitics of oil and gas. It then considers various conventional views of the future of oil and gas in the primary energy mix. Finally, it challenges the drivers behind these conventional views of the future with an emphasis on why they may prove to be different from what is expected and how this may change the context in which producers must frame their policy responses.

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Evaluation and re-understanding of the global natural gas hydrate resources

Petroleum Science ◽

10.1007/s12182-021-00568-9 ◽

2021 ◽

Vol 18 (2) ◽

pp. 323-338

Author(s):

Xiong-Qi Pang ◽

Zhuo-Heng Chen ◽

Cheng-Zao Jia ◽

En-Ze Wang ◽

He-Sheng Shi ◽

...

Keyword(s):

Natural Gas ◽

Gas Hydrate ◽

Oil And Gas ◽

Material Balance ◽

Energy Resource ◽

Resource Assessment ◽

Future Trend ◽

Natural Gas Hydrate ◽

The Future ◽

Recoverable Resources

AbstractNatural gas hydrate (NGH) has been widely considered as an alternative to conventional oil and gas resources in the future energy resource supply since Trofimuk’s first resource assessment in 1973. At least 29 global estimates have been published from various studies so far, among which 24 estimates are greater than the total conventional gas resources. If drawn in chronological order, the 29 historical resource estimates show a clear downward trend, reflecting the changes in our perception with respect to its resource potential with increasing our knowledge on the NGH with time. A time series of the 29 estimates was used to establish a statistical model for predict the future trend. The model produces an expected resource value of 41.46 × 1012 m3 at the year of 2050. The statistical trend projected future gas hydrate resource is only about 10% of total natural gas resource in conventional reservoir, consistent with estimates of global technically recoverable resources (TRR) in gas hydrate from Monte Carlo technique based on volumetric and material balance approaches. Considering the technical challenges and high cost in commercial production and the lack of competitive advantages compared with rapid growing unconventional and renewable resources, only those on the very top of the gas hydrate resource pyramid will be added to future energy supply. It is unlikely that the NGH will be the major energy source in the future.

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Data Management of Sensitive Human Proteomics Data: Current Practices, Recommendations, and Perspectives for the Future

Molecular & Cellular Proteomics ◽

10.1016/j.mcpro.2021.100071 ◽

2021 ◽

Vol 20 ◽

pp. 100071

Author(s):

Nuno Bandeira ◽

Eric W. Deutsch ◽

Oliver Kohlbacher ◽

Lennart Martens ◽

Juan Antonio Vizcaíno

Keyword(s):

Data Management ◽

Proteomics Data ◽

The Future ◽

Current Practices

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2021 Offshore petroleum exploration acreage release

The APPEA Journal ◽

10.1071/aj20191 ◽

2021 ◽

Vol 61 (2) ◽

pp. 291

Author(s):

Paul Trotman

Keyword(s):

Manufacturing Industry ◽

Oil And Gas ◽

Domestic Demand ◽

Liquefied Natural Gas ◽

Petroleum Exploration ◽

Demand Growth ◽

Regulatory Frameworks ◽

The Future ◽

Policy Work ◽

Offshore Petroleum

In 2020, the liquefied natural gas (LNG) trade saw a modest increase of 1%, which is in contrast to the strong growth of previous years. Recently, the global LNG trade has picked up following the easing of impacts from the pandemic and demand growth in Asia. An increase of 6% in the global LNG trade is expected in 2021 and 2022. Domestic demand for gas remains high, with gas being used both for residential supply and also as an essential feedstock for the manufacturing industry. With a projected domestic gas shortfall, the future exploration and development of oil and gas will play a key role in ensuring access to secure, reliable and affordable energy in the future as well as assisting economic recovery from the pandemic. The importance of remaining an attractive investment destination is essential. Our challenge is to not only strike the balance of being agile and adaptive to market disruptions but also provide robust policy and regulatory frameworks to underpin future investment in the sector. Against this backdrop, this paper provides details of the 2021 offshore petroleum exploration acreage release and information about the ongoing policy work of the department.

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Artificial Intelligence and Robotics in the Oil Industry: Will it Take My Job?

10.2118/204643-ms ◽

2021 ◽

Author(s):

Armstrong Lee Agbaji

Keyword(s):

Artificial Intelligence ◽

Oil And Gas ◽

New Technologies ◽

Oil Industry ◽

Oil And Gas Industry ◽

Human Robot Interaction ◽

Gas Industry ◽

Deep Dive ◽

The Future ◽

And Robotics

Abstract Historically, the oil and gas industry has been slow and extremely cautious to adopt emerging technologies. But in the Age of Artificial Intelligence (AI), the industry has broken from tradition. It has not only embraced AI; it is leading the pack. AI has not only changed what it now means to work in the oil industry, it has changed how companies create, capture, and deliver value. Thanks, or no thanks to automation, traditional oil industry skills and talents are now being threatened, and in most cases, rendered obsolete. Oil and gas industry day-to-day work is progressively gravitating towards software and algorithms, and today’s workers are resigning themselves to the fact that computers and robots will one day "take over" and do much of their work. The adoption of AI and how it might affect career prospects is currently causing a lot of anxiety among industry professionals. This paper details how artificial intelligence, automation, and robotics has redefined what it now means to work in the oil industry, as well as the new challenges and responsibilities that the AI revolution presents. It takes a deep-dive into human-robot interaction, and underscores what AI can, and cannot do. It also identifies several traditional oilfield positions that have become endangered by automation, addresses the premonitions of professionals in these endangered roles, and lays out a roadmap on how to survive and thrive in a digitally transformed world. The future of work is evolving, and new technologies are changing how talent is acquired, developed, and retained. That robots will someday "take our jobs" is not an impossible possibility. It is more of a reality than an exaggeration. Automation in the oil industry has achieved outcomes that go beyond human capabilities. In fact, the odds are overwhelming that AI that functions at a comparable level to humans will soon become ubiquitous in the industry. The big question is: How long will it take? The oil industry of the future will not need large office complexes or a large workforce. Most of the work will be automated. Drilling rigs, production platforms, refineries, and petrochemical plants will not go away, but how work is done at these locations will be totally different. While the industry will never entirely lose its human touch, AI will be the foundation of the workforce of the future. How we react to the AI revolution today will shape the industry for generations to come. What should we do when AI changes our job functions and workforce? Should we be training AI, or should we be training humans?

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Pentingnya Manajemen Data Pengeboran Untuk Meningkatkan Operasi Pengeboran Panas Bumi

Jurnal Nasional Pengelolaan Energi MigasZoom ◽

10.37525/mz/2020-2/264 ◽

2020 ◽

Vol 2 (2) ◽

pp. 47-61

Author(s):

Daniel Adityatama ◽

◽

Rizky Mahardhika ◽

Dorman Purba ◽

Farhan Muhammad ◽

...

Keyword(s):

Data Management ◽

Oil And Gas ◽

Data Management System ◽

Key Factors ◽

Drilling Performance ◽

Geothermal Fields ◽

Drilling Data ◽

Cost Efficient ◽

Geothermal Drilling

Drilling is one of the major cost components in geothermal exploration and development. Effective and cost-efficient drilling significantly contribute to the success of geothermal development. Key factors in reducing drilling costs are optimising operations, utilising manpower to its fullest potential, and also benchmarking with other drilling activities to evaluate one’s performance objectively. This is possible if the information regarding the previous drilling activities is stored and easily gathered and analysed before making plans for the drilling campaign. The importance of drilling data analysis and drilling data management have been a subject of study and discussion since the 1980s, but it is still not that common in geothermal drilling, especially in Indonesia. The purpose of this paper is to summarise the definition and examples of drilling data management in a more well-established industry such as oil and gas from various studies in the past, assess the advantages of having a proper drilling database or data management system, and how can the data be used for potentially improving future drilling operation. A case study of converting legacy data from previous drilling campaign of two geothermal fields in Java into a database is also discussed to demonstrate how legacy drilling data can be used to evaluate drilling performance.

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Asset of the Future - Comprehensive Business Transformation Program

10.2118/206367-ms ◽

2021 ◽

Author(s):

Alexander Sitnikov ◽

Sergei Doktor ◽

Andrei Margarit

Keyword(s):

Oil And Gas ◽

Energy Transition ◽

Oil And Gas Industry ◽

Gas Industry ◽

Average Return ◽

Debt Capital ◽

Timely Response ◽

The Future ◽

Return On Capital ◽

Traditional Approaches

Abstract In the recent years the oil and gas industry has started facing an unprecedented number of challenges. The average return on capital in the industry has deteriorated which results in investor mistrust and costs being higher than ever. Debt capital became two times costlier than for alterative types of energy. More conventional oilfields become depleted and new reserves are usually quite complex to develop. These and other challenges such as intense competition between oil and gas companies, the energy transition agenda as well as the volatility of oil prices in the aftermath of the pandemic are pushing the O&G companies to transform themselves. Gazprom Neft introduced the "Asset of the Future" program in late 2018 as a timely response which was aimed at completely transforming the Upstream business model. The main issue with the transformation was the scale of it, which included 10 subsidiaries (or subs) and more than 200 different processes. In this case traditional approaches such as improving each operation one by one would not suffice as the company sought a rapid and highly efficient implementation of changes. As such the program had to develop a new approach that focused on the integration of all business parts and continuous improvement. Integration of people, technology and processes will lead to better collaboration and as a result - to smarter decisions and better execution.

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Data Broadcast Management in Wireless Communication

Wireless Technologies ◽

10.4018/978-1-61350-101-6.ch404 ◽

2012 ◽

pp. 929-943

Author(s):

Seema Verma ◽

Rakhee Kulshrestha ◽

Savita Kumari

Keyword(s):

Wireless Communication ◽

Data Management ◽

Single Channel ◽

Data Broadcast ◽

The Past ◽

Indexing Techniques ◽

The Future ◽

Management Policies ◽

Work Done ◽

Unified Index

The data broadcast policies have been developed for single channel and multi channel with various scheduling and indexing techniques. For the data management policies which consider the different broadcast cycles for different broadcast operators, it can be said that traditional types of data management policies are known previously, and the policies of Central Server (CS) and Unified Index Hub (UIH), which consider single broadcast cycle for all operators, are recent. This chapter presents both strategies very simply for better understanding, discusses the work done in the past and present on data broadcast management, along with suggestions for the future possibilities to explore the field.

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