Satellite monitoring of fugitive methane emissions from oil and gas facilities in Australia

2020 ◽  
Vol 60 (2) ◽  
pp. 446
Author(s):  
Jean-Francois Gauthier
Keyword(s):  
Oil And Gas ◽  
Predictive Analytics ◽  
Oil And Gas Industry ◽  
Methane Emissions ◽  
Lessons Learned ◽  
Satellite Monitoring ◽  
Gas Industry ◽  
Industrial Facilities ◽  
Delaware Basin ◽  
The Us

Since 2016, GHGSat has been operating the world’s first and only satellite specifically designed to monitor methane emissions from industrial facilities around the world. The lessons learned through the success of this demonstration satellite have been incorporated into the company’s next two satellites, the first of which was originally scheduled to launch in September 2019 but was delayed as a result of a rocket failure. The satellite’s technology is ideally suited to the oil and gas industry, particularly unconventional developments in which a high density of facilities can be present. This paper introduces the technology briefly and discusses the predictive analytics applications being developed to augment the efficacy of the satellites in detecting methane emissions. An example of successful application of the predictive analytics engine to detect a methane leak in the Delaware Basin in New Mexico is presented. Parallels are drawn between shale basins in the US and the Surat Basin in Australia, highlighting the applicability of the technology for the oil and gas industry in Australia.

Monitoring of Methane Emissions in Oil and Gas from Space: Matching Needs with Satellite System Capability, and Advantages of High Resolution Monitoring

2021 ◽  
Author(s):  
Jean-Francois Gauthier
Keyword(s):  
High Resolution ◽  
Oil And Gas ◽  
Detection Threshold ◽  
Oil And Gas Industry ◽  
Satellite System ◽  
Methane Emissions ◽  
Lessons Learned ◽  
Gas Industry ◽  
Satellite Systems ◽  
The World

Abstract Satellites are a powerful tool in monitoring methane emissions around the world. In the last five years, many new systems have been both announced and deployed, each with different capabilities and designed for a specific purpose. With an increase in options also comes confusion as to how these systems can and should be used, especially in meeting the needs of the oil and gas industry. This paper will examine the different satellite systems available and explain what information they are best suited to provide. The performance parameters of several current and future satellite systems will be presented and supported with recent examples when available. For example, the importance of factors like frequency of revisit, detection threshold, and spatial resolution will be discussed and contrasted with the needs of the oil and gas industry in gaining a more complete understanding of its methane emissions and enabling action to mitigate them. Results from GHGSat's second generation of high-resolution satellites displaying measurements of methane plumes at oil and gas facilities around the world will be presented to demonstrate some of the advantages of the technology. These two satellites, GHGSat-C1 and C2 (Iris and Hugo), were launched in September 2020 and January 2021 respectively and have started delivering a tenfold improvement in performance after incorporating the lessons learned from their predecessor, GHGSat's demonstration satellite Claire. Finally, the ability of these systems to work together and complement each other's capabilities to provide actionable insight to the oil and gas industry will be discussed.

Identifying Key Safety Culture Factors for the Offshore Industry

2021 ◽  
Author(s):  
Ning Lou ◽  
Ezra Wari ◽  
James Curry ◽  
Kevin McSweeney ◽  
Rick Curtis ◽  
...  
Keyword(s):  
Safety Culture ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Transportation Safety ◽  
Key Factors ◽  
Gas Industry ◽  
The Us ◽  
Offshore Industry ◽  
Offshore Oil And Gas ◽  
Offshore Oil

This research identifies key factors, or safety culture categories, that can be used to help describe the safety culture for the offshore oil and gas industry and develop a comprehensive offshore safety culture assessment toolkit for use by the US Gulf of Mexico (GoM) owners and operators. Detailed questionnaires from selected safety culture frameworks of different industries were collected and analyzed to identify important safety culture factors and key questions for assessment. Safety frameworks from different associations were investigated, including the Center for Offshore Safety (COS), Bureau of Safety and Environmental Enforcement (BSEE), and the National Transportation Safety Board (NTSB). The safety culture factors of each of these frameworks were generalized and analyzed. The frequency of the safety culture factors in each framework was analyzed to explore commonality. The literature review and analysis identified a list of common factors among safety culture frameworks.

SafeOCS Industry Safety Data Program: An Industrywide Safety Data Management Framework

2020 ◽  
Vol 72 (12) ◽  
pp. 34-37
Author(s):  
Demetra V. Collia ◽  
Roland L. Moreau
Keyword(s):  
Oil And Gas ◽  
High Reliability ◽  
Safety Data ◽  
Oil And Gas Industry ◽  
Near Miss ◽  
Outer Continental Shelf ◽  
Gas Industry ◽  
The Us ◽  
Recommended Practices ◽  
Industry Associations

Introduction In the aftermath of the Deepwater Horizon oil spill, the oil and gas industry, regulators, and other stakeholders recognized the need for increased collaboration and data sharing to augment their ability to better identify safety risks and address them before an accident occurs. The SafeOCS program is one such collaboration between industry and government. It is a voluntary confidential reporting program that collects and analyzes data to advance safety in oil and gas operations on the Outer Continental Shelf (OCS). The US Bureau of Safety and Environmental Enforcement (BSEE) established the program with input from industry and then entered into an agreement with the US Bureau of Transportation Statistics (BTS) to develop, implement, and operate the program. As a principal statistical agency, BTS has considerable data-collection-and-analysis expertise with near-miss reporting systems for other industries and the statutory authority to protect the confidentiality of the reported information and the reporter’s identify. Source data submitted to BTS are not subject to subpoena, legal discovery, or Freedom of Information Act (FOIA) requests. Solving for the Gap Across industries, companies have long realized the benefits of collecting and analyzing data around safety and environmental events to identify risks and take actions to prevent reoccurrence. These activities are aided by industry associations that collect and share event information and develop recommended practices to improve performance. In high-reliability industries such as aviation and nuclear, it is common practice to report and share events among companies and for the regulators to identify hidden trends and create or update existing recommended practices, regulations, or other controls. The challenge for the offshore oil and gas industry is that industry associations and the regulator are typically limited to collecting data on agency-reportable incidents. With this limitation, other high-learning-value events or observed conditions could go unnoticed as a trend until a major event occurs. This lack of timely data represented an opportunity for the industry and the offshore regulator (BSEE) to collaborate on a means of gathering safety-event data that would allow for analysis and identification of trends, thereby enabling appropriate interventions to prevent major incidents and foster continuous improvement. The SafeOCS Industry Safety Data (ISD) program provides an effective process for capturing these trends by looking across a wider spectrum of events, including those with no consequences.

Lessons Learned in Developing Human Capital for the Oil and Gas Industry in Kazakhstan

2021 ◽  
Vol 73 (08) ◽  
pp. 60-61
Author(s):  
Chris Carpenter
Keyword(s):  
Human Capital ◽  
Human Resource Development ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Technical Conference ◽  
Program Improvement ◽  
Lessons Learned ◽  
Colorado School ◽  
Gas Industry ◽  
Successful Model

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 201272, “Lessons Learned in Developing Human Capital for the Oil and Gas Industry in Kazakhstan,” by Zhassulan Dairov, SPE, KIMEP University and Satbayev University; Murat Syzdykov, SPE, Satbayev University; and Jennifer Miskimins, SPE, Colorado School of Mines, prepared for the 2020 SPE Annual Technical Conference and Exhibition, originally scheduled to be held in Denver, Colorado, 5–7 October. The paper has not been peer reviewed. The World Economic Forum’s (WEF) Human Capital initiative has been implemented at Satbayev University (SU), Almaty, Kazakhstan, during the last 2 years. Participating in this effort are Chevron, Eni, Shell, and the Colorado School of Mines (Mines). The complete paper assesses the effectiveness of project components, such as industry guest lectures, summer internships, and program improvement, and provides lessons learned for human-resource-development initiatives. Introduction In most cases, the industry/ university alliance is intermittent, short-term, and underdeveloped. The engagement of three stakeholders, such as government, industry, and the university, is the most-successful model of joint performance. This approach allows all participants to create competitive advantages in the achievement of common objectives. Moreover, the role of governmental agencies is critical alongside professional organizations in facilitating such cooperation.

Case Histories of the Resolution of Bolted Joint Leakage in the Oil and Gas Industry

2016 ◽  
Author(s):  
Warren Brown ◽  
Geoff Evans ◽  
Lorna Carpenter
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Lessons Learned ◽  
Bolted Joint ◽  
Case Histories ◽  
Gas Industry ◽  
Root Cause ◽  
The Past ◽  
Cause Of Failure ◽  
Assessment Techniques

Over the course of the past 20 years, methods have been developed for assessing the probability and root cause of bolted joint leakage based on sound engineering assessment techniques. Those methods were incorporated, in part, into ASME PCC-1-2010 Appendix O [7] and provide the only published standard method for establishing bolted joint assembly bolt load. As detailed in previous papers, the method can also be used for troubleshooting joint leakage. This paper addresses a series of actual joint leakage cases, outlines the analysis performed to determine root cause of failure and the actions taken to successfully eliminate future incidents of failure (lessons learned).

Additive Manufacturing in the Oil and Gas Industry Overview

2020 ◽  
Author(s):  
Carlo De Bernardi
Keyword(s):  
Additive Manufacturing ◽  
Inventory Management ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Lessons Learned ◽  
Current Status ◽  
Gas Industry ◽  
Standardization Process ◽  
Process Feedback ◽  
Different Levels

Abstract The API 20S Standard is designed to play a crucial role in leveraging Additive Manufacturing (AM) to foster innovation in the oil and gas industry. The paper, in association with the standard, will facilitate the understanding of how AM will enable equipment design improvements, faster prototyping, and better inventory management. By way of discussing the progress, challenges, and lessons learned from the standardization process, the paper aims to encourage a safer, broader, and faster adoption of AM technologies in the mainstream oil and gas applications. The paper will summarize the streamlining process, feedback from the API 20S task group, and current status of the standardization efforts. Additionally, upcoming challenges and the potential for the oil and gas industry industries to contribute to the standard will be summarized. The paper will also showcase a novel tiered approach (Additive Manufacturing Specification Levels) to allow the users of the document to match different levels of criticality.

Environmental Defense Fund Permian Basin Campaign: a science and advocacy-based approach to quantify and mitigate methane emissions from the oil and gas industry

2020 ◽  
Author(s):  
David Lyon ◽  
Mark Omara ◽  
Ritesh Gautam ◽  
Kate Roberts ◽  
Beth Trask ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Atmospheric Transport ◽  
Spatial Scales ◽  
Oil And Gas Industry ◽  
Methane Emissions ◽  
Test Method ◽  
State University ◽  
Permian Basin ◽  
Gas Industry ◽  
Small Clusters

<p>The Permian Basin in west Texas and southeast New Mexico (United States) is one of the most productive oil and gas (O&G) basins in the world, but little methane emissions data have been collected from the region.  Environmental Defense Fund (EDF) is leading a year-long science and advocacy campaign to measure O&G methane emissions in the Permian Basin and quickly communicate the data to stakeholders including the public and O&G operators to facilitate emission reductions. EDF and our scientific partners are using three primary approaches to repeatedly quantify emissions at different spatial scales during the campaign. Pennsylvania State University is estimating regional methane emissions on a quarterly basis with atmospheric transport modeling of data collected from a network of five tower-based instruments. University of Wyoming is deploying a mobile laboratory on public roads to measure site-level emissions of methane and volatile organic compounds with EPA Other Test Method 33A and the transect approach.  Scientific Aviation is performing aerial mass balance flights to quantify emissions from small clusters of sites, gridded areas, and larger regions.  Additionally, EDF is collaborating with several groups using remote sensing approaches to quantify methane emissions including TROPOMI, AVIRIS-NG, GAO, and MethaneAIR.  Emissions data including site identities will be published on a custom public website as quickly as possible to educate stakeholders about the magnitude of emissions and facilitate the mitigation of detected emission sources. Following the campaign, data will be analyzed to understand patterns and trends in emissions.  Furthermore, we will discuss the potential for implementing similar monitoring approaches in other O&G basins to provide scientifically-rigorous, actionable data that supports effective mitigation of methane emissions.</p>

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