Adopting an integrated service-model approach to overcome the skills shortage

2012 ◽  
Vol 52 (2) ◽  
pp. 649
Author(s):  
Peter Goode
Keyword(s):  
Asset Management ◽  
Oil And Gas ◽  
Resource Planning ◽  
Integrated Services ◽  
Skilled Labour ◽  
Steel Manufacturing ◽  
Skills Shortage ◽  
Site Monitoring ◽  
Innovative Solutions ◽  
New Construction

The Australian Government reports 80 planned or approved projects in the Australian resources sector will see demand for skilled labour increase by 70% by 2020. That is an estimated 70,000 new construction jobs and 16,000 ongoing positions in the sector. Several well-documented, proposed strategies address this skills shortage. One strategy that warrants closer attention is the Integrated Services Contract Model. This model allows a coordinated approach to resource planning and management across multiple sites and projects; it is being successfully used across the oil and gas, mining, and manufacturing industries. This approach is delivering improved safety, quality, and scheduling while reducing total costs as well as facilitating skilled-labour supply. Companies such as Santos are championing this model to level the resource profile and optimise its operations and assets across the Cooper and Eromanga Basins during five years. The steel manufacturing and mining industries are also using this approach, and the lessons are transferable. It has also been used by Woodside successfully for the past 15 years. An integrated services model relies on strategies such as asset management to better manage maintenance and shutdown requirements during an asset’s life-cycle, and a program-of-works approach across multiple sites and projects to identify essential versus non-essential work to reduce stress on the same labour pool. Remote and regional locations are also driving innovative solutions such as applying technology for remote site monitoring to reduce on-site manning requirements.

Asset Management Challenges of Offshore Installations in Arctic Regions

2012 ◽  
Author(s):  
Alejandro Bencomo ◽  
Tore Markeset
Keyword(s):  
Asset Management ◽  
Oil And Gas ◽  
Oil Companies ◽  
Cold Environments ◽  
Oil And Gas Fields ◽  
Arctic Regions ◽  
Offshore Installations ◽  
Innovative Solutions ◽  
Extreme Cold ◽  
Gas Fields

In the last decade we have seen an increase interest by the oil companies in developing oil and gas fields in arctic regions. Companies are trying to adapt conventional procedures and technologies used in more tempered offshore regions into subzero environments. However, some all these proven technologies and techniques are not quite efficient in extreme cold environments. In this paper the authors discuss the main challenges inherent to operation and maintenance of offshore facilities in arctic regions. Moreover a set of conventional and innovative solutions for these challenges is presented.

Methods and priorities for human resource planning in oil and gas projects in Russia and OPEC

2021 ◽  
Author(s):  
Alexey Fadeev ◽  
Nadejda Komendantova ◽  
Alexey Cherepovitsyn ◽  
Anna Tsvetkova ◽  
Ivan Paramonov
Keyword(s):  
Human Resource ◽  
Oil And Gas ◽  
Resource Planning ◽  
Human Resource Planning

Increasing the level of environmental safety of drilling sludge storages

2021 ◽  
Vol 6 (2) ◽  
pp. 102-109
Author(s):  
Liubomyr Poberezhny ◽  
◽  
Khrystyna Karavanovych ◽  
Volodymyr Chupa ◽  
Rostyslav Rybaruk ◽  
...  
Keyword(s):  
Soil Pollution ◽  
Oil And Gas ◽  
Environmental Safety ◽  
Oil Products ◽  
Oil And Gas Development ◽  
Oil And Gas Fields ◽  
Development Processes ◽  
New Construction ◽  
Drilling Sludge ◽  
Gas Fields

The main sources of soil pollution due to the development of oil and gas fields are analyzed. It is shown that the main sources of oil products entering the soil are sludge accumulators and drilling barns. A new construction of a drilling barn and a scheme of reclamation of the existing ones are proposed. The implementation of such developments will minimize the ingress of oil-containing fluids into the soil and increase the level of environmental safety of oil and gas development processes.

Integration of Radio Frequency Identification and GIS for Asset Management

2008 ◽  
Author(s):  
Joseph Hlady ◽  
Somen Mondal
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Asset Management ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Rfid Technology ◽  
Time Data ◽  
Gas Industry ◽  
Frequency Identification ◽  
Control Loss

The use of Radio Frequency Identification (RFID) has grown substantially in the past few years. Driven mostly by the retail supply chain management industry and by inventory control (loss prevention), RFID technology is finding more acceptance in the security and personal tracking sectors beyond simple pass cards. This growth has of course resulted in greater acceptance of RFID technology and more standardization of process and systems as well as decreased per unit costs. The oil and gas industry is being exposed to the potential use of RFID technology, mostly through the safety and equipment inspection portion of construction management. However, the application of RFID technology is expected to expand to the material tracking and asset management realms in the near future. Integrating the information provided by RFIDs with EPCM project and owner/operator Geographic Information Systems (GIS) is a logical next step towards maximizing the value of RFID technology. By linking assets tracked in the field during movement, lay-down and construction to a GIS, projects will have accurate, real-time data on the location of materials as well as be able to query about those assets after commissioning. This same capability is being modified for post-commission use of RFID with facility GISs. This paper outlines how existing GISs used during the EPCM phases and those employed after commissioning can display, utilize and analyze information provided by RFID technology.

A Holistic Approach to Achieve Excellence in Pipeline Security Using "SOLIDS"

2021 ◽  
Author(s):  
M. Rais
Keyword(s):  
Crude Oil ◽  
Asset Management ◽  
Management System ◽  
Oil And Gas ◽  
Detection System ◽  
Holistic Approach ◽  
Integrated System ◽  
Operational Conditions ◽  
Oil Pipeline ◽  
Detection Technology

Indonesian oil and gas transporter, PT Pertamina Gas (Pertagas), has a special task to operate the Tempino to Plaju Crude Oil Pipeline (TPCOP) to deliver 15,000 barrel-oil per day (BOPD) crude oil. Pertagas faced a big challenge and concern in the operation due to the frequent illegal tapping activities and risk of pipeline product theft. In 2012, 748 illegal taps cases or equal to a daily average of 2 cases were reported. The loss from crude oil transportation was approximately 40% per day and loss revenue was more than $20 million a year. Moreover, illegal tapping by cutting into pipelines can cause pipeline ruptures and explosions, leading to human casualties, destruction of property, and damage to the environment. Pertagas reported that illegal taps have increased to 400% from year 2010 to the year 2013. Efforts were taken to minimize the illegal tapping frequency by developing an integrated system that includes supervision and security of assets along the pipeline called “Security and Oil Losses Management with Integrated Detection System (SOLIDS)”. This system consists of Asset Management System (AMS), Liquid Management System (LMS), Leak Detection System (LDS), security patrol, Emergency Response Team (ERT), and is supported by Corporate Social Responsibility (CSR) programs. The implementation of SOLIDS proved to be an effective oil loss detection technology and pipeline security control that detects product thefts quickly and locates illegal tapping points accurately, so protective measures could be applied immediately. The implementation showed a good result. Pertagas has been succeeded in reducing losses from illegal taps from 748 cases in 2012 to zero cases in 2018. Consistent implementation of this system will provide a solution in reducing losses and illegal tapping under all operational conditions.

scholarly journals Learning Representations of Network Traffic Using Deep Neural Networks for Network Anomaly Detection: A Perspective towards Oil and Gas IT Infrastructures

Symmetry ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 1882
Author(s):  
Sheraz Naseer ◽  
Rao Faizan Ali ◽  
P.D.D Dominic ◽  
Yasir Saleem
Keyword(s):  
Anomaly Detection ◽  
Network Traffic ◽  
Oil And Gas ◽  
Resource Planning ◽  
Machine Learning Algorithms ◽  
Data Driven ◽  
Network Data ◽  
It Infrastructure ◽  
Industrial Automation ◽  
Network Anomaly Detection

Oil and Gas organizations are dependent on their IT infrastructure, which is a small part of their industrial automation infrastructure, to function effectively. The oil and gas (O&G) organizations industrial automation infrastructure landscape is complex. To perform focused and effective studies, Industrial systems infrastructure is divided into functional levels by The Instrumentation, Systems and Automation Society (ISA) Standard ANSI/ISA-95:2005. This research focuses on the ISA-95:2005 level-4 IT infrastructure to address network anomaly detection problem for ensuring the security and reliability of Oil and Gas resource planning, process planning and operations management. Anomaly detectors try to recognize patterns of anomalous behaviors from network traffic and their performance is heavily dependent on extraction time and quality of network traffic features or representations used to train the detector. Creating efficient representations from large volumes of network traffic to develop anomaly detection models is a time and resource intensive task. In this study we propose, implement and evaluate use of Deep learning to learn effective Network data representations from raw network traffic to develop data driven anomaly detection systems. Proposed methodology provides an automated and cost effective replacement of feature extraction which is otherwise a time and resource intensive task for developing data driven anomaly detectors. The ISCX-2012 dataset is used to represent ISA-95 level-4 network traffic because the O&G network traffic at this level is not much different than normal internet traffic. We trained four representation learning models using popular deep neural network architectures to extract deep representations from ISCX 2012 traffic flows. A total of sixty anomaly detectors were trained by authors using twelve conventional Machine Learning algorithms to compare the performance of aforementioned deep representations with that of a human-engineered handcrafted network data representation. The comparisons were performed using well known model evaluation parameters. Results showed that deep representations are a promising feature in engineering replacement to develop anomaly detection models for IT infrastructure security. In our future research, we intend to investigate the effectiveness of deep representations, extracted using ISA-95:2005 Level 2-3 traffic comprising of SCADA systems, for anomaly detection in critical O&G systems.

The Ichthys LNG Project: big, bold and beautiful

2013 ◽  
Vol 53 (2) ◽  
pp. 430
Author(s):  
Antoine Serceau
Keyword(s):  
Joint Venture ◽  
Oil And Gas ◽  
Capital Expenditure ◽  
Investment Decision ◽  
Weather Conditions ◽  
Subsea Pipeline ◽  
Central Processing ◽  
Pipeline Project ◽  
Construction Activity ◽  
New Construction

The Ichthys LNG Project is one of the most complex oil and gas developments attempted. It is three mega-projects in one: an onshore project, an offshore project, and a pipeline project. The onshore project is being developed in Darwin and involves two processing trains rated to produce a total of 8.4 million tonnes of LNG per year. Offshore, the central processing facility (CPF) will feature the world's largest semi-submersible platform. A substantial floating, production storage and offtake (FPSO) vessel, designed to hold more than one million barrels of condensate, will be stationed nearby. Both the CPF and FPSO will be permanently moored in an area notorious for cyclonic weather conditions and will be designed to withstand even the most extreme weather conditions for more than four decades. An 889 km subsea pipeline will link the Ichthys Field, 200 km off the Western Australian coast, to the onshore facilities in Darwin. This represents the longest subsea pipeline in the southern hemisphere and fifth longest in the world. A final investment decision for the project was announced in January 2012. This triggered intense construction activity and created hundreds of new construction jobs in Darwin and more globally. More than 4,000 direct jobs will be created at the peak of construction. An approved capital expenditure of $US34 billion by INPEX and the Ichthys Project joint venture participants shows a tremendous commitment to Australia. Since the discovery of the gas-condensate field in 2000, the Ichthys road has been one of identifying and overcoming geographical, political, technical, physical, financial, and commercial challenges. The Ichthys Project is a global effort, drawing on worldwide expertise to overcome these challenges and work towards first gas in late 2016.

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