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In the current situation of low oil prices due to the impact of the global Pandemic, operators are facing challenges to continue production at lower operation cost than usual. The focus is to manage assets as such; to maximise production whilst maintaining assurance of technical integrity at minimum cost. In addition, this emphasis will ensure economic viability of assets through to cessation of production, prior to commencement of abandonment and decommissioning process. Asset integrity strategies have evolved from prescriptive to risk-based and require a good understanding of the consequences of failures, potential degradations and failure modes. Integrity threats are typically influenced by a host of circumstances such as change in operating parameters, material degradation, corrosion, fatigue, and a general lack of reliability, together with obsolescence of equipment and systems. Service history and data analysis are essential in predicting threats, estimating remaining life and planning of intervention activities. Data digitalisation has, in practice, proven essential in undertaking complex assessment and analysis and has significantly improved the understanding of the asset integrity status across facilities. To be technically sound and cost-effective, asset integrity strategies and performance monitoring must be integral components within the on-going work planning process. This session will address the strategies, processes, lessons learnt and technology applications (both existing and developing) that impact maintaining integrity in a cost-effective manner.
Identifying the type of corrosion is the first step in the analysis and prevention of corrosion-related failures. Visual inspection of the pit morphology can provide insights into the type of corrosion that is occurring. When panels in an instrument equipment shelter kept tripping and the occasional smell of H2S led to an investigation of the rationale. Although a rare occurrence, this paper presents a strategy for prevention through careful site selection. Though a best practice for sustainable hydraulic fracturing operations, using nonpotable water creates an environment in which microorganisms thrive.
The chemical reactions creating buildups of scale that can clog a well can be replicated in a chemical lab, but researchers are finding many more variables on the surfaces of pipes that need to be considered. At the 2017 SPE Oilfield Chemistry Conference, an assistant professor from Heriot-Watt University discusses the optimization of squeeze treatments delivered by diving support vessels. This paper describes a novel method of chemical dosage based on time-resolved fluorescence (TRF) that allows a simple, accurate, and efficient quantification of chemicals below parts-per-million ranges, even for double (scale/scale, scale/corrosion) quantification. Rigless coiled-tubing-unit (CTU) interventions can be effective in returning to production wells that have lost electrical-submersible-pump (ESP) efficiency because of organic, inorganic, or mixed scale deposits. The gas-producing carbonate zones of the Ghawar field in eastern Saudi Arabia have been affected by extensive iron sulfide (FeS) scale deposition, reducing overall gas production and increasing risks during well interventions.
A recovery in the energy industry is key to the oilfield water sector in the Permian. But the industry must address issues such as further research, regulatory changes, and technology. Poland state officials said the terminal expansion is crucial to strengthening the country’s energy security by increasing its capacity to receive LNG and gas from European countries and decreasing its dependence on Russia. Supreme Court upholds ACP’s controversial permit to lay pipe under national forest and across two states. Sleipner’s share in net-zero emissions savings will be more than 150,000 tonnes per year.
As part of an effort to evaluate existing riser systems, an operator launched an inspection and testing program to investigate risers retrieved following well abandonment after a service life of nearly 10 years in the Gulf of Mexico. This paper describes a novel method of chemical dosage based on time-resolved fluorescence (TRF) that allows a simple, accurate, and efficient quantification of chemicals below parts-per-million ranges, even for double (scale/scale, scale/corrosion) quantification.
Penspen will also carry out engineering services on the Zirku Island plant. Wood is Shell’s exclusive partner for Shell’s Smart Choke technology, which suppresses riser-induced slugging. A small core team with the ability to make decisions was responsible for getting a subsea tie-back project up to sanction within a short-time frame. SPE’s technical sections offer communities rich with industry expertise. And your engagement adds to the wealth of knowledge to be shared.
The cement industry is exploring carbon capture technology to reduce its carbon footprint. Machine learning enables fast, cost-effective, and accurate methane emissions detection in remote areas. BP, ENI, Equinor, Shell and Total to develop Net Zero Teesside Project. The project aims to capture 6 mtpa of CO2 emissions. Equinor Technology Ventures and OGCI Climate Investments have agreed to back the tech developer, which integrates its SeekIR miniature gas sensors onto drones to detect, localize, and quantify carbon emissions.
Designed to be a “living” map, it focuses on the largest fixed infrastructure for crude oil and refined products such as trunk pipelines, refineries, and storage facilities. The contract continues the two companies’ 8-year working relationship; in 2012, they performed the world’s-first underdeck inspection. Five key steps for shaping renewable energy projects are discussed. A recent test proved the feasibility of using LiDAR on remote-controlled drones to create 3D maps of the inside of tanks, increasing the safety and efficiency of inspections. Sleipner’s share in net-zero emissions savings will be more than 150,000 tonnes per year. New LNG capacity in 2019 kept pace with higher trading volumes and supply/demand growth.
Machine learning enables fast, cost-effective, and accurate methane emissions detection in remote areas. Despite streams of data being available on platforms about the condition of topside and drilling equipment, most experts agree that only a small fraction of such data is used. Whether for a fleet or single platform, AI can transform an offshore enterprise. An AI-based application enabled operators to preempt ESP failures while optimizing production. Artificial intelligence systems can be trained to recognize visual content in drawings and provide a simplified context.