Detection of methane fugitive emissions using drones

2021 ◽  
Vol 61 (2) ◽  
pp. 400
Author(s):  
Grazia Gargiulo

Detecting methane fugitive emissions from infrastructures is an important task for the oil and gas industry safety and asset management. The current methodology relies on driving surveys using vehicles equipped with different sensors. However, this approach has limitations due to the technical characteristics of the commercially available methane detectors and the specific difficulty for a vehicle to safely and reliably cover certain terrains. Additionally, for an extended asset network like pipelines, the gathering of data relies on long distance driving and sometimes in remote areas. Terra Sana Consultants Pty Ltd (TSC) developed an unmanned aerial vehicle (UAV), or drone, mounted with a laser sensor able to detect surface fugitive emissions associated with oil and gas operations and clearly geo-reference methane emission. This technology enables a more targeted risk assessment approach with the objectives to improve the emission flux calculations across the scale of a typical oil and gas site thus reducing uncertainty and to thereby plan meaningful remediation actions.

Author(s):  
Joseph Hlady ◽  
Somen Mondal

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.


Author(s):  
Andreas Al-Kinani ◽  
Nihal Cakir ◽  
Theresa Baumgartner ◽  
Michael Stundner

This chapter describes a framework that captures knowledge in an organization and applies it in daily operations. Knowledge capturing is one of the biggest upcoming challenges to oil and gas organizations as operations become more remote, more challenging, and many experts are leaving the oil and gas industry. A methodology is described to capture the knowledge of experts centrally and apply it throughout all operations in the organization. Due to the fact that an asset team is facing different constraints and challenges throughout the lifetime of a field, the system needs to gather experience from decisions and learn together with the asset team. Technologies that are flexible enough to process uncertainties are discussed as well as the effect on people, processes, and organization.


Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4063 ◽  
Author(s):  
Log ◽  
Pedersen

Gas leaks in the oil and gas industry represent a safety risk as they, if ignited, may result in severe fires and/or explosions. Unignited, they have environmental impacts. This is particularly the case for methane leaks due to a significant Global Warming Potential (GWP). Since gas leak rates may span several orders of magnitude, that is, from leaks associated with potential major accidents to fugitive emissions on the order of 10−6 kg/s, it has been difficult to organize the leaks in an all-inclusive leak categorization model. The motivation for the present study was to develop a simple logarithmic table based on an existing consequence matrix for safety related incidents extended to include non-safety related fugitive emissions. An evaluation sheet was also developed as a guide for immediate risk evaluations when new leaks are identified. The leak rate table and evaluation guide were tested in the field at five land-based oil and gas facilities during Optical Gas Inspection (OGI) campaigns. It is demonstrated how the suggested concept can be used for presenting and analysing detected leaks to assist in Leak Detection and Repair (LDAR) programs. The novel categorization table was proven valuable in prioritizing repair of “super-emitter” components rather than the numerous minor fugitive emissions detected by OGI cameras, which contribute little to the accumulated emissions. The study was limited to five land based oil and gas facilities in Norway. However, as the results regarding leak rate distribution and “super-emitter” contributions mirror studies from other regions, the methodology should be generally applicable. To emphasize environmental impact, it is suggested to include leaking gas GWP in future research on the categorization model, that is, not base prioritization solely on leak rates. Research on OGI campaign frequency is recommended since frequent coarse campaigns may give an improved cost benefit ratio.


2015 ◽  
Vol 74 (4) ◽  
Author(s):  
M. K. F. M. Ali ◽  
N. Md. Noor ◽  
N. Yahaya ◽  
A. A. Bakar ◽  
M. Ismail

Pipelines play an extremely important role in the transportation of gases and liquids over long distance throughout the world. Internal corrosion due to microbiologically influenced corrosion (MIC) is one of the major integrity problems in oil and gas industry and is responsible for most of the internal corrosion in transportation pipelines. The presence of microorganisms such as sulfate reducing bacteria (SRB) in pipeline system has raised deep concern within the oil and gas industry. Biocide treatment and cathodic protection are commonly used to control MIC. However, the solution is too expensive and may create environmental problems by being too corrosive. Recently, Ultraviolet (UV) as one of the benign techniques to enhance mitigation of MIC risk in pipeline system has gained interest among researchers. An amount of 100 ml of modified Baar’s medium and 5 ml of Desulfovibrio vulgaris (strain 7577) seeds was grown in 125 ml anaerobic vials with carbon steel grade API 5L-X70 coupons at the optimum temperature of 37°C and pH 9.5 for fifteen days. This was then followed by exposing the medium to UV for one hour. Results from present study showed that UV radiation has the ability to disinfect bacteria, hence minimizing the risk of metal loss due to corrosion in steel pipeline. 


2018 ◽  
Vol 7 (1) ◽  
pp. 100
Author(s):  
Foster Gomado ◽  
Forson Kobina ◽  
Augustus Owusu Boadi ◽  
Yussif Moro Awelisah

The superb rheological features of bentonites makes them an excellent candidate in drilling operations. Its capacity of bentonite to swell and extend to a few times its unique volume gives it the gelling and viscosity controlling quality. The execution of clay or specifical bentonite as a great consistency controlling operator in drilling fluids largely depends on the great extent of its rheological conduct. Ghana as of late found oil and it has tossed a test to research to explore the utilization of local materials in the oil and gas operations. A rheological study was conducted on local clay samples from Ajumako, Saltpond and Winneba in the Central district of Ghana as a viscosifier in drilling muds. This will help to improve the local content of Ghana's oil and gas industry. Drilling muds were prepared from the samples in addition to a control mud using imported non-treated bentonite. The local clay samples were subjected rheological test where the flow behavior of the muds was determined by measuring the gel strength, plastic viscosity, and the yield point. The experimental values were compared to the API standards. It was revealed that the local clay had some potential features of bentonite and could be utilized as controlling operators in drilling fluids provided the clays are beneficiated to enhance their rheological properties. This novel tend to improve the local content in oil and gas industry in Ghana through the deployment of the local materials in oil and gas operations in the nation.


2013 ◽  
Vol 53 (2) ◽  
pp. 467
Author(s):  
Liesl Verwoert

Australia’s resources industry has experienced record growth and a strong demand for labour during the past decade. Much of this demand is occurring in remote parts of Australia and is met by population growth of resident and non-resident long-distance-commuter (LDC) workers. LDC workers are defined as those who travel significant distances between where they usually live and work, and include fly-in/fly-out and drive-in/drive-out workers. While the LDC workforce is not new, the scale of this phenomenon and the shift in commuting patterns among this workforce to meet Australia’s evolving labour demands is unprecedented. KPMG have quantified the size and distribution of the LDC workforce by industry and region across Australia. This was part of a ground-breaking workforce mobility study commissioned by the Minerals Council of Australia (in conjunction with APPEA and Skills DMC). Findings from this study answer the following questions: To what extent has the size of the LDC workforce increased in the past five years up to 2011? How does the prevalence of long-distance commuting in the oil and gas industry compare with other industries? What are the top three resource regions that attract LDC workers and what do the commuter routes look like? This extended abstract contributes to our knowledge base about the geographic mobility of the Australian workforce. It reveals the LDC workforce facts and thereby helps guide industry and government policy to ensure the economic and social prosperity of Australia’s resource regions and their residents and workers.


2019 ◽  
Vol 59 (2) ◽  
pp. 824
Author(s):  
David Walker

The ability to measure large amounts of data at high frequency, and the increasing ability to process these data close to the source at the edge, has opened up a new frontier in asset management. Until now, analysis of high-frequency data in real time has been the domain of a few, very expensive devices. However, this is rapidly changing, with the increasing capabilities of sensors and edge devices providing flexible, low-cost solutions that can be deployed across all site machinery to provide predictive and detailed information about these assets. All machinery vibrates at multiple frequencies when running. If you listen to this vibration, it can tell you a lot about the condition of the machine and its components. In fact, it is surprising how rich and detailed this information can be. Cavitation, insufficient lubrication, failing bearings and faulty impellers all have different vibration signatures, and by listening for these signatures it is possible to identify issues before they occur, and even predict when they will occur. It is also possible to feed this information (e.g. cavitation) to the control system so that process decisions can be made to avoid machine damage. This paper discusses solutions that are available now and currently being developed in terms of edge computing devices and advances in the algorithms that analyse the vibration data, and how they can be applied in the oil and gas industry to ensure assets are optimised and downtime is minimised.


1977 ◽  
Vol 15 (3) ◽  
pp. 455
Author(s):  
M. A. Carten

In his paper Mr. Carten discusses the Canadian federal income tax system and its application to the oil and gas industry. His principal concern is with those situations in which the taxation of the profits of the industry is not subject to the same basic principles of taxation as are other business operations in Canada.


2021 ◽  
Vol 73 (03) ◽  
pp. 10-11
Author(s):  
Francois Laborie

I was recently asked if I thought that the oil and gas industry would bounce back once the world is rid of the coronavirus. It was a question prompted by the sharp decline in activity in several oil-and-gas-dependent sectors such as transportation. The coronavirus and its subsequent impact on the price of oil have injected a sense of uncertainty into the industry, prompting many to speculate as to what will happen once the pandemic abates. Rather than asking if we’ll bounce back, I’d prefer we focus on how fast we can learn from the challenges and move forward. The oil and gas industry has come to a point at which there is no turning back. The pressure to transform was mounting long before COVID-19 entered our vocabulary. Recent events only highlight the urgency of it. It is an urgency that stems from new regulation, increasing financial pressure, and growing societal expectations. From the Paris Agreement to the UN’s Sustainable Development Goals, the world has come to terms with the fact that our planet is not immune to human impact and that we need to take measures to mitigate our damage to it. For oil and gas, that means transformation, in both the short and long term, all the while remaining profitable and competitive. In the shorter term, the world is not able to fill the void that going completely fossil-free would create. Oil and gas are still key components of the global energy system, driving both social and economic development in much of the world. That means that while our dependency remains, the extraction of this natural resource and its subsequent processing need to be done as safely, efficiently, and as carbon-friendly as possible. That’s where technology stands to play a pivotal role. For oil and gas operations, achieving near-term, sustainable success will require three things. Optimizing the use of data for increased transparency. There are savings to be had across oil and gas operations. In 2017, global management consultant McKinsey & Company reported that the industry’s performance gap was around $200 billion and that most offshore platforms are only running at 77% of their maximum potential. This means that there is significant ground to be gained. Today, we have the tools available to capture this value, to extract the data, and identify where there is waste and where there is opportunity. This kind of accountability is possible only if you are transparent with your data, which requires the right tools to uncover it, understand it, and share it. Several oil and gas players today have already cracked the code to learn how to use data to ensure more sustainable operations. By gaining an understanding of the inherent power of data flowing through their operations and by embracing transparency around that data, they can harness it to their advantage. Norway-based oil and gas operator Aker BP is one such example. Working with Cognite, it recently implemented machine learning to improve water- contamination detection, saving $6 million per year and reducing the company’s environmental impact. The massive savings for both the companies and the environment was achieved with the smarter and more open use of data.


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