Greenstick Well Engineering: Sustainability Index for Asset Value Chain Management

2021 ◽  
Author(s):  
Robello Samuel ◽  
Rishi Adari ◽  
Nagaraj Srinivasan

Abstract Environmental impacts due to exploration to the abandonment of oil and gas wells are a major focus when the wells are planned and drilled. However, there is no industry standard to quantify the impact due to complex indicators and associated variables. So, it is necessary to have an assessment framework and a methodology with the help of the digital transformation that provides an integrative index. This index allows a baseline to estimate the benchmarking for the well engineering not only during planning but also in real-time as the well is drilled and produced. This paper presents and validates a new model for the sustainability index for well design and engineering in the life cycle of the well. This proposed method avoids some of the vagueness of well’s sustainability and can be used and applied practically. It is based on various metrics and weightage assigned when a well is planned, designed, and engineered. Evaluating the index for well engineering is based on the following elements: environmental impact, well design and engineering, functionality and optimization impact, impact of well and maintenance costs, health and safety impact, societal impact. Each element contains sub-elements. This process involves individual indexing through backpropagation of neural networks combined with bat algorithm to obtain the final overall index.

2018 ◽  
Vol 25 (9) ◽  
pp. 3541-3569 ◽  
Author(s):  
Ala Shqairat ◽  
Balan Sundarakani

Purpose The purpose of this paper is to investigate the agility of oil and gas value chains in the United Arab Emirates (UAE) and to understand the impact of implementing supply disruption (SD) strategies, outsourcing strategies (OS) and management strategies (MS) on oil and gas value chain agility (VCA). The results can support the oil and gas industry across the UAE to build resilience in the value chain. Design/methodology/approach The research design consists of a comprehensive literature review, followed by questionnaire-based survey responses of 106 participants and comprehensive statistical analysis, thus validate the developed theoretical framework and contribute to both practical and methodological approaches. Findings The findings indicate that oil and gas value chain in the UAE has moderate a significant degree of SD, when OS in place that are synchronized with the overall MS. Among the hypotheses developed, two were accepted thus warranting both SD strategies (r=+0.432) and MS (r= +0.457) found to have a positive moderate effect on VCA. The third hypothesis was rejected by revealing OS (r=+0.387) found to have a positive moderate relationship with VCA. Therefore, implementation of all three strategies has a positive moderate effect on the agility of the value chain and, therefore, supports to sustain competitive position. Research limitations/implications Some of the limitations of this research include the geographic coverage of the study region and other methodological limitation. Practical implications The research provides guidance for oil and gas supply chain managers to better understand the critical factors that impact and determine VCA. The paper also describes relevant strategies that should be taken into consideration by these managers in order to build their agile value chains. Social implications The research contributes to the social dimensions of supply chain sustainability of how resilient is the oil and gas value chain during uncertain conditions, so that it can respond to uncertain changes in order to contribute to corporate social responsibility. Originality/value This research is the first of its kind in the UAE region to assess the link between dimensions of agile value chain, OS, SD strategies and MS primarily from the Emirates of Abu Dhabi and Dubai.


GeoArabia ◽  
2002 ◽  
Vol 7 (4) ◽  
pp. 657-672
Author(s):  
Jean-Jacques Postel ◽  
Abdul Nabi Mukhtar ◽  
Philippe Feugère

ABSTRACT Environmental constraints are critical issues for land seismic operations and require the development of appropriate equipment and methods. In 1998, Compagnie Générale de Géophysique (CGG) acquired and processed seamless seismic data on behalf of the Bahrain Petroleum Company (Bapco) from a complex field on the Island of Bahrain. The operation ran smoothly in spite of the difficulty of working amongst pipelines, wells, and other oil and gas installations; scarps and sabkhas; urban areas; a zoo, golf course, and racecourse; an oil refinery and aluminum smelter; and other industrial and commercial facilities. The survey deployed a wide range of recording equipment including two sets of vibrators and a combination of radio and cable telemetry recording systems, and a fleet-management system. The successful completion of the survey was achieved through dedicated teamwork. The key elements were as follows: (1) collecting the correct baseline information; (2) detailed planning of the timeframe, human and material resources, adaptation of acquisition techniques to varying circumstances, and health and safety requirements; (3) continuous monitoring of external conditions and the impact of the operation on the environment, in full consultation with the appropriate authorities; (4) maximum flexibility in the field operations so as to allow for changing conditions and unforeseen events; and (5) close partnership between CGG and Bapco at all stages of the project. A joint CGG/Bapco team designed sophisticated processing methods, with top priority being given to the numerous surface heterogeneities. In particular, the recording of an intensive up-hole survey allowed a dedicated team at CGG in France to compute a robust subsurface model and a precise set of primary statics. Seven velocity layers from the Quaternary sandstone to the base of the calcareous and dolomitic Eocene were mapped. These showed significant lateral and vertical velocity variations within identified geological units. Surface-consistent signal processing with calibration to well data was used to compensate for the variations. Other critical processing steps included detailed velocity control, the application of dip moveout routines with acquisition-irregularity-compensation schemes, Radon demultiples and 3-D algorithms, designed for optimal de-noising and imaging. These combined efforts led to the delivery of a final 3-D migrated block. As a result, a complete reinterpretation of the area was possible that significantly increased the estimated recoverable oil reserves (particularly by-passed oil) in the Awali field.


2016 ◽  
Vol 56 (2) ◽  
pp. 539
Author(s):  
Eleanor Taylor

In recent years there have been ongoing tussles regarding the regulation of employment in the offshore oil and gas industry. Much of this conflict relates to the extent of union involvement in the industry, and the impact increased union activity may have on cost and productivity. This conflict has played out in the courts, legislature and the media. It is evidenced in the debate over the application of Australian migration laws to foreign workers offshore. This has involved lobbying by a number of organisations and Federal and High Court challenges to parliamentary intervention. Whether these laws apply has important implications for industry, as they include the practicalities and cost of engaging adequately skilled contractors for specialist tasks on major projects. Another recent example is the Australian Council of Trade Unions (ACTU) advocating for the application of the harmonised workplace health and safety regulations to the offshore industry. The application of these regulations would likely affect the extent of union involvement in the workplace, and have consequent cost and efficiency implications. In this extended abstract the author examines the impacts on industry of: recent and upcoming changes in employment regulation; uncertainties around the application of employment laws offshore; proposed changes to safety regulation; and, areas where industry is seeing advocacy for change.


2019 ◽  
Vol 59 (2) ◽  
pp. 767
Author(s):  
Adriana Botto

The award-winning Subsea Equipment Australian Reliability (SEAR) Joint Industry Project (JIP) is a partnership led by Wood and has participation of a group of OGAS Operators namely Chevron Australia, ConocoPhillips, Inpex, Quadrant, Shell Australia and Woodside. Now delivering Phase 6, the JIP is focused on collaboration and knowledge sharing, so as to improve the competitiveness of Australia’s oil and gas sector by addressing critical challenges associated with equipment that is failing prematurely subsea. The SEAR JIP was initiated in 2014 and has since developed a reliability database to collect failure information from SEAR members with Australian offshore operations. The SEAR database provides a low cost–high value method of capturing and sharing failures and lessons learnt for Australia. Over the years, the JIP has focused on different but common industry challenges, such as the impact of marine fouling affecting operability during interventions. To address this challenge, the JIP is deploying ‘living laboratories’ at different geographical locations and water depths across various Australian waters, in collaboration with suppliers and local universities to identify game-changing technology. The ability to better understand failures and intervention requirements has the potential to offer operators significant cost savings, by optimising equipment reliability and availability. This paper will provide an overview of SEAR JIP and outlines lessons learned and value created, and discusses how a similar collaborative approach can create value in other parts of the Australian LNG value chain.


2013 ◽  
Vol 53 (2) ◽  
pp. 500
Author(s):  
Julie Honore ◽  
Jane Murphy

This extended abstract presents the latest findings and trends in remuneration based on the safesearch annual HSE Remuneration Survey, due to be released in early 2013. The survey, now in its seventh year, includes data from more than 100 Australian companies, primarily from the ASX 200, and covers a diverse range of industries, including oil and gas. Author Julie Honoré uses her knowledge and experience from a specialist search firm and connections and knowledge of both the education sector and regulatory environment to provide a snapshot of trends in educational qualifications, salaries of health and safety professionals, variations across industry sectors related to oil and gas, and the impact of geographical locations. The author also discusses how organisations can compete and respond to the skills demand to attract and retain HSE talent in a dynamic and ever-changing environment.


Author(s):  
Martin Hassel ◽  
Ingrid Bouwer Utne ◽  
Jan Erik Vinnem

This article presents a new risk model for estimating the probability of allision risk (the impact between a ship under way and a stationary installation) from passing vessels on the Norwegian Continental Shelf (NCS). Offshore petroleum operators on the NCS are required by the Norwegian Petroleum Safety Authority (PSA) to perform risk assessments to estimate the probability of impacts between ships and offshore installations, both for field related and passing (merchant) vessels. This has typically been done using the aging industry standard COLLIDE risk model, but this article presents a new risk model based on a Bayesian Belief Network (BBN) that can replace the old COLLIDE model for passing vessels. The new risk model incorporates a wider range of risk influencing factors (RIFs) and enables a holistic and detailed analysis of risk factors, barrier elements and dependencies. Even though the risk of allision with passing vessels is very small, the potential consequences can be critical. The new risk model is more transparent and provides a better understanding of the mechanisms behind allision risk calculations. The results from the new model are aligned with industry expectations, indicating an overall satisfactory performance. The article discusses several key elements, such as the use of expert judgement to estimate RIFs when no empirical data is available, model sensitivity, and a comparative assessment of the new risk model to the old COLLIDE model.


2021 ◽  
Vol 8 (9) ◽  
pp. 239-246
Author(s):  
S PORKODI ◽  
Azhaar Masoud Al-Zawaidi ◽  
Anood Mohammed Al-Muharbi ◽  
Lamees Mohammed Al-Sarmi ◽  
Hafeedha Mohammed Al-Shibli ◽  
...  

Human Resources Management is an important element to the success and progress of any organization, the uniqueness of HRM practices is considered as a possible competitive tool and the central value of the company. In this research, an attempt was made to study the impact of HRM challenges on post-COVID-19 HRM practices. The practices include health and safety, work schedule, cooperation communication, training, and recruitment and selection. The respondents of the study were different levels of managers working in oil and gas companies in Oman. An online questionnaire was used to collect data from 130 respondents. This research concludes that the level of HRM challenges has highly significant with the age group of the respondents. In addition, multiple linear regression was applied and the study revealed that three variables are highly significant with the post-COVID HRM practices. Those variables represent health issues in the Pandemic situation, difficulty in balancing between work and life, and difficulty in strategic focus during this pandemic. These variables underwent most of the post-COVID HRM practices in the Oil and gas companies in Oman.


2021 ◽  
Vol 10 (1) ◽  
pp. 110-127
Author(s):  
Mariana Toussaint ◽  
Pablo Cabanelas

The idea of UN Sustainable Development Goals that no one is left behind is gaining higher importance, especially during the pandemic. Despite social sustainability is a complex topic due to the absence of a clear definition and its subjectivity. It relates with existing social problems, where the COVID-19 pandemic has also increased these problems in the food value chain: poor decent working conditions, lack of occupational health and safety at the workplace, forced labor, and intensive hours of work, among others. As half of the world’s workforce is involved in the food industry, the better understanding of its associated value chains in times of pandemic can contribute to improve social sustainable practices. With this aim the current paper identifies and analyzes current challenges and problems linked to social sustainability in times of COVID-19, identifying key actors and potential solutions and recommendations. The research adopts a qualitative and exploratory method applied through the Grounded Theory analysis combining desk research with inputs from a multi-stakeholder consultation of 35 fishery experts from all over the world. The paper provides new insights and shared experiences about social sustainability in the fish value chain to overcome the crisis times we are living in.


2017 ◽  
Vol 57 (2) ◽  
pp. 523
Author(s):  
Russell Potapinski

Cognitive computing is a new disruptive technology with the potential to reshape the oil and gas industry across the entire value chain. For Woodside Energy Ltd (Woodside), embracing this technology is an opportunity to save time, drive efficiency and reduce costs. In 2015, Woodside collaborated with IBM and deployed a cognitive computing system (IBM’s Watson) into its business. The system focuses on capturing the vast proprietary database of knowledge on Woodside’s major capital projects. Today, the Watson proof-of-concept has been successfully deployed by the science function into the business and is now under the care of the projects function. Moreover, it is undergoing continuous advances through further machine learning, additional ingestion of documentation and features linking the cognitive computer system with existing subject matter experts. Given the success of the first pilot program, Woodside is continuing to rapidly leverage cognitive technologies in other areas of the business. In mid-2016, Woodside deployed Watson for drilling events using IBM’s Watson Explorer – Advanced Addition. This program identifies and classifies a wide variety of geological drilling events allowing Woodside’s geoscience team to provide more timely and accurate assessment of potential risks for well design. Woodside continues to develop several other business solutions using these platforms in areas as diverse as continuous improvement, business management, maintenance campaigns, legal advice, general management and robotics. This presentation shares Woodside’s lessons and insights derived from its journey across multiple forms of cognitive technology and provides insights as to the state-of-the-art and adaptation of these systems to achieve specific goals.


2016 ◽  
Vol 5 (2) ◽  
pp. 59-70
Author(s):  
Colin Prince ◽  
Andre De La Harpe ◽  
Johannes Cronje

Globally, the energy sector is fast nearing a tipping point of no return, transitioning from fossil fuel to renewable energy. Business is turning to the IT department to leverage technology that will reduce organisational wide production and operational cost in a fast changing economy. The business expects the IT department to be innovative and build new IT competencies for a rapid response to the transition towards renewable energy. This study contributes new knowledge regarding the impact of management theory and approaches on the successful implementation of IT in the African Oil and Gas industry. The research shows that capabilities such as innovation and people competencies are growing in importance while IT leadership is becoming a critical role in supporting and delivering on the business objectives as enabler and transformational agent of business. Capabilities such as systems thinking, business acumen and interpersonal skills are key IT management competencies for transformation innovation leadership. Knowing the business needs, the IT department can provide integrated solutions that support the complete business value chain without exposing the business to a rigid IT structure. Remaining competitive, business-driven IT innovation is a vehicle for business to meet new realities. The research followed a multistage mixed-model design using the African Oil and Gas industry as case study.


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