scholarly journals Improving Emergency Response Systems in the Oil and Gas Industry To Reduce Environmental Damage

2020 ◽  
Vol 221 ◽  
pp. 01008
Author(s):  
A Kostyuk ◽  
A Tumanov ◽  
V Tumanov ◽  
O Zybina
Keyword(s):  
Emergency Response ◽  
Oil And Gas ◽  
Significant Risk ◽  
Oil And Gas Industry ◽  
Environmental Damage ◽  
Production Facility ◽  
Gas Industry ◽  
Response System ◽  
Hazardous Production ◽  
Response Systems

The article identifies the main problems of eliminating the reduction of environmental damage by improving the response systems to man-made accidents at hazardous production facilities of the oil and gas complex. Risk factors for ensuring safety at a hazardous production facility in the oil and gas industry are identified, the most significant risk factor is identified by the method of hierarchical analysis, and the problem of the engineering and technical factor in the system “man technical environment industrial environment environment” is revealed. “The solution to the problem is indicated the use of a developed mobile emergency response system, which makes it possible to halve the response time to an emergency. The developed response system can be applied at any hazardous production facility in the oil and gas industry due to its flexibility.

Issues of Environmental Impairment Liability Insurance in the Russian Oil and Gas Industry

2019 ◽  
Vol 2019 (4) ◽  
pp. 160-175
Author(s):  
Anna Popova
Keyword(s):  
Environmental Pollution ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Oil Products ◽  
Nature Management ◽  
Environmental Damage ◽  
Gas Industry ◽  
Oil Companies ◽  
Management Measures ◽  
Expert Assessments

The author studies environmental insurance in nature management as a lever of management measures to prevent and eliminate environmental pollution by oil products during their transportation and oil fields development. The research aims to develop recommendations for environmental risks insurance in Russian oil and gas industry on the basis of economic and mathematical model that allows to estimate the scale of environmental pollution by oil products. Such methods as system and comparative analysis, expert assessments, forecasting, modeling used in this work helped the author to identify Russian environmental insurance features; to propose a method for solving the problem concerning the lack of statistical data on the frequency and scale of accidents and the environmental damage magnitude by mathematical modeling of the accident, which allows to estimate the radius and depth of the underlying surface pollution. These developments will help insurers to make more adequate insurance premiums and tariffs, as well as to improve the underwriting procedure for unique oil and gas projects. But in order for the obtained achievements to find their application, it is necessary to have legislation obliging oil companies to compensate for environmental damage, and due to the scale of such damage, oil companies will be obliged to insure the relevant risks.

scholarly journals Current Environmental Regulation of the Alberta Oil and Gas Industry and Emerging Issues

1990 ◽  
Vol 28 (1) ◽  
pp. 171
Author(s):  
Albert J. Hudec ◽  
Joni R. Paulus
Keyword(s):  
Environmental Regulation ◽  
Oil And Gas ◽  
Environmental Law ◽  
Insurance Coverage ◽  
Oil And Gas Industry ◽  
Environmental Damage ◽  
Regulatory Structure ◽  
Gas Industry ◽  
Emerging Issues ◽  
The Law

As the environmental law regime in Alberta becomes increasingly detailed and stringent, participants in the oil and gas industry will face greater liability arising from environmental damage. This paper reviews the current provincial environmental regulatory structure as it applies to the oil and gas industry. Prospective developments in the law are also considered. The drafting of operating agreements, sale of oil and gas assets, and the liability of subsequent users are discussed in this context. Insurance coverage for environmental damage and the liability of lenders are also examined.

Machine Learning as Accelerating Tool in Remote Operation Realisation through Monitoring Oil and Gas Equipments and Identifying its Failure Mode

2021 ◽  
Author(s):  
Ahmad Naufal Naufal ◽  
Samy Abdelhamid Samy ◽  
Nenisurya Hashim Nenisurya ◽  
Zaharuddin Muhammad Zaharuddin ◽  
Eddy Damsuri Eddy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Failure Mode ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Support Vector ◽  
Environmental Damage ◽  
Equipment Failure ◽  
Statistical Regression ◽  
Gas Industry ◽  
Plant Equipment

Abstract Equipment failure, unplanned downtime operation, and environmental damage cost represent critical challenges in overall oil and gas business from well reservoir identification and drilling strategy to production and processing. Identifying and managing the risks around assets that could fail and cause redundant and expensive downtime are the core of plant reliability in oil and gas industry. In the current digital era; there is an essential need of innovative data-driven solutions to address these challenges, especially, monitoring and diagnosis of plant equipment operations, recognize equipment failure; avoid unplanned downtime; repair costs and potential environmental damage; maintaining reliable production, and identifying equipment failures. Machine learning-artificial intelligence application is being studied to develop predictive maintenance (PdM) models as innovative analytics solution based on real-data streaming to get to an elevated level of situational intelligence to guide actions and provide early warnings of impending asset failure that previously remained undetected. This paper proposes novel machine learning predictive models based on extreme learning/support vector machines (ELM-SVM) to predict the time to failure (TTF) and when a plant equipment(s) will fail; so maintenance can be planned well ahead of time to minimize disruption. Proper visualization with deep-insights (training and validation) processes of the available mountains of historian and real-time data are carried out. Comparative studies of ELM-SVM techniques versus the most common physical-statistical regression techniques using available rotating equipment-compressors and time-failure mode data. Results are presented and it is promising to show that the new machine learning (ELM-SVM) techniques outperforms physical-statistics techniques with reliable and high accurate predictions; which have a high impact on the future ROI of oil and gas industry.

Automated Well Control: From Automated Detection to Automated Shut-In

2021 ◽  
Author(s):  
Bryan Wade Atchison
Keyword(s):  
Oil And Gas ◽  
New Technologies ◽  
Oil And Gas Industry ◽  
Drill String ◽  
Step Change ◽  
Innovative Technology ◽  
Environmental Damage ◽  
Gas Industry ◽  
Well Control ◽  
Drilling Rig

Abstract Objectives April 2010 in the Gulf of Mexico and January 2017 in Oklahoma brought into sharp focus what can happen if the oil and gas industry gets well control wrong: 16 fatalities, significant environmental damage, loss of assets and reputation. Each year we have multiple blowouts and several fatality events due to a loss of well control. The oil and gas industry can improve from a personnel safety, environmental and reputation perspective. The Automation of Well Control will bring a significant step change in the area of Process Safety forwells. It prevents blowouts, reduces all influx volumes, minimising kicktolerance volumes and reducingcasing and well costs. Method A system has been developedwhich enables Automated Well Control whilst in drilling mode. Pre-determined influx rates, agreed by the operator and drilling contractor, and input by the driller are established. Once the system detects the influx, it performs a series of operations by taking control of the drilling rig equipment. The drill string is spaced out, top drive and mud pumps are stopped, and the BOP is closed. All of this occurs without the driller doing anything; however, he can intervene at any moment. Thissystem is designed as an aid to the driller and does not remove his responsibility. Results The Automated Well Control system has been tested on drilling simulators with real drillers. Comparisons tests have shown that the technology enables shut-in times faster than conventional human interface methods, with influx volumes typically 10-20% of those experienced during manual shut-in. Additionally, a full Field Trial using a traditional rigdemonstrated the effectiveness of the system, proving up the functionality under different operational requirements. The system can now be applied to any type of rig worldwide. Over 50 potential modules have been identified. Planned developments forthe system include circulatingout the kick automatically, shut-in for tripping, circulating, cementing and in-flow testing. It provides assurance for afast, safe and effective shut-in.A full Technology Qualification process has been used for this technology. Innovative Technology Over the past 20 years, technology advancements associated with simulators and cyber-rigs have enabled new technologies to be developed. One of these technologies is Automated Well Control. It is believed that this innovative system will enable a step change in the performance ofprocess safety forwell control, dramaticallyreducing major accident hazards, thereby saving millions of dollars per well, reducing environmental impact and preventing loss of life.

scholarly journals The Alarm Bell is Sounding and the Regulator is at the Door: Emergency Response, Reporting, and Investigations in the Age of Heightened Compliance Monitoring and Enforcement

2017 ◽  
Author(s):  
Allison Sears ◽  
Marianne (Chuck) Davies ◽  
Conor Chell
Keyword(s):  
Best Practices ◽  
Emergency Response ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Oil And Gas Producers ◽  
Response Planning ◽  
Emergency Response Planning ◽  
Public Pressure ◽  
Monitoring And Enforcement

In light of recent disasters in the oil and gas industry, there is increasing public pressure to develop more robust processes for responding to such disasters in Canada. In this article, the authors examine the emergency response procedures currently in place, and consider how oil and gas producers, carriers, and processors can improve these procedures. The article begins by outlining the emergency response planning and incident reporting obligations incumbent on the oil and gas industry, which is followed by an overview of the regulatory inspection powers that exist to investigate real and potential environmental, workplace, and safety incidents. Finally, the article considers what responding to an actual emergency would look like, and proposes best practices for the oil and gas industry.

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