scholarly journals An Optimization Model for Operational Planning and Turnaround Maintenance Scheduling of Oil and Gas Supply Chain

2020 ◽  
Vol 10 (21) ◽  
pp. 7531
Author(s):  
Ahmed M. Ghaithan
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
World Economy ◽  
Oil And Gas ◽  
Optimal Operation ◽  
Maintenance Scheduling ◽  
Critical Parameters ◽  
Operation And Maintenance ◽  
Proposed Model ◽  
Gas Supply

Hydrocarbon supply chain (HCSC) is a complex network that extends from oil and gas fields to demand nodes. Integrating operation and maintenance activities along this complex network is crucial since the hydrocarbon industry is the most influential sector in the world economy, and any disruptions or variations in hydrocarbon product supply will affect the whole world economy. Therefore, effective and thoughtful maintenance extends the life of an asset and enhances its reliability. To prevent huge losses in production and ultimately satisfy customer needs, the maintenance jobs are preferred to be performed during times of low demand. Thus, operation planning and maintenance scheduling decisions are dependent and should be optimized simultaneously. Therefore, the aim of this study is to develop an integrated mathematical model for the operation and maintenance planning of the oil and gas supply chain. The utility of the proposed model has been demonstrated using the Saudi Arabian HCSC. The proposed model effectively produces optimal operation and maintenance schedule decisions. A sensitivity analysis was conducted to study the effect of critical parameters on the obtained results.

scholarly journals A multi-objective model for an integrated oil and natural gas supply chain under uncertainty

2021 ◽  
Author(s):  
Ahmed M. Ghaithan ◽  
Ahmed Attia ◽  
Salih O. Duffuaa
Keyword(s):  
Supply Chain ◽  
Natural Gas ◽  
Stochastic Programming ◽  
Oil And Gas ◽  
Petroleum Products ◽  
Programming Approach ◽  
Proposed Model ◽  
Stochastic Solution ◽  
Oil And Natural Gas ◽  
Gas Supply

The oil and gas networks are overlapped because of the inclusion of associated gas in crude oil. This necessitates the integration and planning of oil and gas supply chain together. In recent years, hydrocarbon market has experienced high fluctuation in demands and prices which leads to considerable economic disruptions. Therefore, planning of oil and gas supply chain, considering market uncertainty is a significant area of research. In this regard, this study develops a multi-objective stochastic optimization model for tactical planning of downstream segment of oil and natural gas supply chain under uncertainty of price and demand of petroleum products. The proposed model was formulated based on a two-stage stochastic programming approach with a finite number of realizations. The proposed model helps to assess various trade-offs among the selected goals and guides decision maker(s) to effectively manage oil and natural gas supply chain. The applicability and the utility of the proposed model has been demonstrated using the case of Saudi Arabia oil and gas supply chain. The model is solved using the improved augmented ε-constraint algorithm. The impact of uncertainty of price and demand of petroleum products on the obtained results was investigated. The Value of Stochastic Solution (VSS) for total cost, total revenue, and service level reached a maximum of 12.6 %, 0.4 %, and 6.2% of wait-and see solutions, respectively. Therefore, the Value of the Stochastic Solution proved the importance of using stochastic programming approach over deterministic approach. In addition, the obtained results indicate that uncertainty in demand has higher impact on the oil and gas supply chain performance than the price.

Blockchain and 6G-Based Supply Chain Management Framework for Oil and Gas Shipment

2021 ◽  
Author(s):  
Md Abdur Rahman ◽  
Syed M. Belal
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Oil And Gas ◽  
Current System ◽  
Oil And Gas Industry ◽  
Chain Process ◽  
Chain Management ◽  
It Systems ◽  
Supply Chain Management System ◽  
Gas Supply

Abstract Keeping track of the oil and gas supply chain is challenging task as the route and transportation requires sophisticated security environment - both physical systems’ and IT systems’ security. Thanks to the recent advancement in IoT, specialized sensors can keep track of the required supply chain environment. With the help of blockchain, the supply chain data can be immutably saved for further sharing with stakeholders. Due to the introduction of AI as an embedded element within 6G networks, the end-to-end supply chain process can now be automated for safety, security, and efficiency purposes. By leveraging 6G, AI, blockchain, and IoT, the supply chain data during the transportation or at rest can be monitored for any changed environment during the movement of the ship through national or international routes. In this paper, we study the requirements of such intelligent and secure supply chain management system conducive to the oil and gas industry. We also show our proof-of-concept implementation and initial test results. Our obtained results show promising prospect of the current system to be deployed to safeguard the oil and gas supply chain.

scholarly journals Assessment of methane emissions from the U.S. oil and gas supply chain

Science ◽  
2018 ◽  
pp. eaar7204 ◽  
Author(s):  
Ramón A. Alvarez ◽  
Daniel Zavala-Araiza ◽  
David R. Lyon ◽  
David T. Allen ◽  
Zachary R. Barkley ◽  
...  
Keyword(s):  
Supply Chain ◽  
Oil And Gas ◽  
Methane Emissions ◽  
Gas Supply ◽  
The U.S

Risk-based asset performance management in CSG production operations

2019 ◽  
Vol 59 (2) ◽  
pp. 776
Author(s):  
Peter Carydias ◽  
James Gregory
Keyword(s):  
Supply Chain ◽  
Performance Management ◽  
Complex Network ◽  
Oil And Gas ◽  
Regulatory Compliance ◽  
Cost Of Quality ◽  
Best Value ◽  
Capital Efficiency ◽  
Fit For Purpose ◽  
Upstream Processing

The coal seam gas (CSG) industry is an asset intensive and highly regulated industry, with each project having a large, complex network of upstream processing facilities. Each major project will drill over 3000 individual wells with around 40000 wells predicted across the Surat and Bowen basins during the lifetime of these projects. This high asset count poses a challenge for upstream oil and gas operators to meet corporate and legislative requirements, maintain asset integrity of the facilities; while delivering leading operational performance and return on investment in this cost-focused environment. In this paper, we propose that the effective management of these CSG assets requires a conscious cross-disciplinary, whole lifecycle focus on value realisation. We explore three ways that CSG operators can successfully achieve this by transitioning to a risk-based, asset performance management led environment: 1. Safe production and regulatory compliance – the geographic spread of CSG facilities poses significant exposure to driving risk when travelling in remote locations. We discuss how CSG operators can leverage existing data to create fit-for-purpose risk-based inspection strategies. 2. Maximising reliability – CSG consists of a complex network of interconnected reservoirs, process facilities and complex demand-side variability. This requires a fluid approach to the allocation of scarce maintenance planning resources. We discuss how CSG operators can use a risk-based approach to achieve an optimised ‘best value’ outcome. 3. Managing supply-chain cost and quality – we explore how CSG operators can deliver a step-change in integrity, cost-of quality and capital efficiency in their supply chain.

A model of service supply chain sustainability assessment using fuzzy methods and factor analysis in oil and gas industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Davood Naghi Beiranvand ◽  
Kamran Jamali Firouzabadi ◽  
Sahar Dorniani
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Performance Assessment ◽  
Conceptual Model ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Content Type ◽  
Service Supply Chain ◽  
Proposed Model

Purpose The main objective of this study is to present a conceptual model of sustainable product service supply chain (SPSSC) performance assessment in the oil and gas industry. Design/methodology/approach Based on an in-depth study of the previous literature, the indicators related to PSSC performance assessment were determined. Then, exploratory factor analysis and confirmatory factor analysis were applied to identify and confirm the sub-criteria and criteria pertaining to the proposed model. Findings The obtained results identify ten criteria related to the proposed model as follows: “Environmental performance”, “Customer performance”, “financial performance”, “Information technology Performance”, “Social Performance”, “Risk performance”, “Logistics performance”, “Operational performance”, “Organizational performance” and “performance of innovation and growth”. Research limitations/implications As the present research was conducted in the Iranian context, caution should be taken regarding the generalizability of the obtained results. Originality/value Based on a set of the identified criteria, this study proposes a conceptual model of the PSSC performance assessment in the oil and gas industry which hopefully could be useful for other organizations in this industry and other organizations in other parts of the world.

ERP-ENABLED PROCUREMENT � A CASE STUDY IN OIL AND GAS SUPPLY CHAIN

2015 ◽  
Vol 15 (1) ◽  
pp. 83-92
Author(s):  
Diana Uspanova ◽  
Oluchi Uwannah ◽  
Liang-Chieh Cheng
Keyword(s):  
Supply Chain ◽  
Oil And Gas ◽  
Gas Supply
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