Harnessing the value of data in asset management for production assurance and to lower operating costs

2013 ◽  
Vol 53 (2) ◽  
pp. 491
Author(s):  
Paul Agar
Keyword(s):  
Asset Management ◽  
Net Present Value ◽  
Oil And Gas ◽  
New Technology ◽  
Critical Role ◽  
Oil And Gas Industry ◽  
Life Cycles ◽  
Critical Element ◽  
Management Decisions ◽  
Asset Data

With rising costs, a tight labour market, and prolonged global economic uncertainty, it is unsurprising that investment decisions are being re-evaluated across Australia's resources and energy industry. Amid this tough market environment, effective asset management has never been more important. Asset management was first adopted by Australia's oil and gas industry in the early 90s and is now well entrenched. There is widespread acknowledgement that it breaks down project complexity and plays a critical role in maximising project net present value. If done well, asset management takes a long-term view of asset life-cycles–from concept and creation, to services that deliver production assurance and lower costs. While these principles are well understood across the market, asset data capture and analysis–a critical element to successful asset management–requires ongoing review. Accurate and comprehensive asset data is the basis on which all good asset-management decisions are made. Developments in geographic information systems, SAP, and cloud-based technology are redefining the way asset data is collected, stored, analysed, and fed back into asset-management decisions. Asset managers of oil and gas assets should, therefore, be asking themselves three important questions: Are we using the latest technology to collect, store, and analyse asset data? Which project stakeholders need to interact with the data? Do our existing or planned asset-management models have the capacity to integrate and evolve with new technology as it develops?

scholarly journals Experimental study of circular inlets effect on the performances of Gas-Liquid Cylindrical Cyclone separators (GLCC)

2020 ◽  
Vol 3 (SI1) ◽  
pp. First
Author(s):  
Ho Minh Kha ◽  
Nguyen Thanh Nam ◽  
Vo Tuyen ◽  
Nguyen Tan Ken
Keyword(s):  
Oil And Gas ◽  
New Technology ◽  
Oil And Gas Industry ◽  
Critical Element ◽  
Gas Industry ◽  
Cylindrical Cyclone ◽  
Inlet Geometry ◽  
Petroleum Companies ◽  
Two Phases ◽  
The One

The gas-liquid cylindrical cyclone (GLCC) separators is a fairly new technology for the oil and gas industry. The current GLCC separator, a potential alternative for the conventional one, was studied, developed, and patented by Chevron company and Tulsa University (USA). It is used for replacing the traditional separators that have been used over the last 100 years. In addition, it is significantly attracted to petroleum companies in recent years because of the effect of the oil world price. However, the behavior of phases in the instrument is very rapid, complex, and unsteady, which may cause the difficulty of enhancing the performance of the separation phases. The multiple recent research shows that the inlet geometry is probably the most critical element that influences directly to the performance of separation of phases. Though, so far, most of the studies of GLCC separator were limited with the one inlet model. The main target of the current study is to deeply understand the effect of different geometrical configurations of the circular inlet on performances of GLCC by the experimental method for two phases flow (gas-liquid). Two different inlet configurations are constructed, namely: One circular inlet and two symmetric circular inlets. As a result, we propose the use of two symmetric circular inlets to enhance separator efficiency because of their effects.

Integration of Radio Frequency Identification and GIS for Asset Management

2008 ◽  
Author(s):  
Joseph Hlady ◽  
Somen Mondal
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Asset Management ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Rfid Technology ◽  
Time Data ◽  
Gas Industry ◽  
Frequency Identification ◽  
Control Loss

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.

Unlocking the Potential: Understanding the Psychological Factors That Influence Technology Adoption in the Upstream Oil and Gas Industry

SPE Journal ◽  
2019 ◽  
Vol 25 (01) ◽  
pp. 515-528
Author(s):  
Ruby Roberts ◽  
Rhona Flin
Keyword(s):  
Technology Adoption ◽  
Psychological Factors ◽  
Oil And Gas ◽  
New Technologies ◽  
New Technology ◽  
Oil And Gas Industry ◽  
Research Area ◽  
Organizational Level ◽  
Innovative Technology ◽  
Future Research

Summary To maximize the opportunities for the adoption of newly developed products, there is a need to better understand how psychological factors have an impact on the acceptance and deployment of innovative technology in industry. While there is extensive general literature on the psychological factors that influence consumer behavior and the use of new technologies, there seemed to be very limited understanding of this topic, specifically relating to the upstream energy sector. A literature review was conducted to (1) identify what, if any, research has been conducted in relation to the psychological factors influencing technology adoption and deployment in the oil and gas (O&G) industry and (2) identify what interventions have been developed to support technology adoption in O&G. A literature search was undertaken, and given the limited research anticipated, minimum selection criteria were applied on the basis of Cochrane quality control (Higgins and Green 2011). In the 17 articles that met the search criteria, there was limited discussion of the psychological factors that have an impact on O&G technology adoption. The articles were subject to Braun and Clarke (2006) thematic analysis, producing a list of psychological factors that influence technology adoption in O&G. Only five psychological factors were identified: personality (e.g., exploration traits and risk aversion), attitude (e.g., trust and not-invented-here syndrome), social (e.g., social norms), cognition (e.g., risk perception), and psychological factors at an organizational level (leadership and organizational culture). In addition, our review identified a small number of interventions that were developed and deployed to support technology adoption in O&G. Given the early stages of this research area, combined with the relevance for technology innovation in upstream O&G, our review adds to the literature by identifying an initial framework of the key psychological factors. This essential set of factors can be used to direct future research, as well as to support effective interventions aimed at supporting the introduction of new technology.

Wet Compression: Performance Test of a 3D Impeller and Validation of Predictive Model

2016 ◽  
Author(s):  
Veronica Ferrara ◽  
Lars E. Bakken ◽  
Stefano Falomi ◽  
Giuseppe Sassanelli ◽  
Matteo Bertoneri ◽  
...  
Keyword(s):  
Performance Test ◽  
Oil And Gas ◽  
Dynamic Pressure ◽  
New Technology ◽  
Mechanical Damage ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Compression Performance ◽  
Laboratory Setup ◽  
Wet Compression

In the last few years wet compression has received special attention from the oil and gas industry. Here, the development and implementation of new subsea solutions are important focus areas to increase production and recovery from existing fields. This new technology will contribute to exploitation of small and remote fields and access in very deep water. In this regard liquid tolerance represents a viable option to reduce the cost of a subsea compression station bringing considerable simplification to the subsea process itself. However, the industry may experience some drawbacks: the various levels of liquid presence may create operational risk for traditional compressors; the liquid may cause mechanical damage because of erosion and corrosion of the internal units and the compressor performance might be affected too. The experimental investigation conducted in the study considers dry and wet conditions in a laboratory setup to understand how the presence of liquid influences the stage performance. The test campaign has been carried out at the Norwegian University of Science and Technology, NTNU, in Trondheim, to assess the performance and operating range of a tridimensional impeller when processing a mixture of gas and liquid phases. Experimental results allowed validating the OEM internal prediction code for compressors’ performance in wet conditions. Finally, the effect of liquid on machine operability has been assessed through a left-limit investigation by means of dynamic pressure probes readings in order to evaluate the stall/surge behaviour for different values of liquid mass fraction.

New Technology Spiral SAW Pipes for Onshore and Offshore Oil and Gas Pipelines

2002 ◽  
Author(s):  
Josef Avagianos ◽  
Kostas Papamantellos
Keyword(s):  
Oil And Gas ◽  
Quality Management System ◽  
New Technology ◽  
Large Diameter ◽  
Production Capacity ◽  
Oil And Gas Industry ◽  
Step Method ◽  
Line Pipe ◽  
Water Transportation ◽  
Welded Pipe

The world production capacity on large-diameter welded pipe amounts to more than 12 million tons per year 20–25% are produced as spiral sub-arc welded (SAW) pipes, with the balance of 75–80% being longitudinal SAW pipes (from plates). For most spiral-weld producers, a sizeable portion of line pipe is for water transportation, rather than hydrocarbon. In the past, the relative structural weakness of spiral-welded pipe, due to larger welded area, limited the growth of its use in the oil industry. With the development of more advanced production technology, the acceptance of spiral-welded pipes in the oil and gas industry has increased significantly. In this paper, the principals of the spiral manufacturing technology from coil by the two-step-method are introduced and the innovations of Corinth Pipework’s production facility are outlined in detail, including the sophisticated NDT techniques and the Quality Management System.

Logic Sequence Prevents Launching Devices Downhole Out of Sequence

2014 ◽  
Author(s):  
Ricardo de Lepeleire ◽  
Nicolas Rogozinski ◽  
Hank Rogers ◽  
Daniel Ferrari
Keyword(s):  
Latin America ◽  
Oil And Gas ◽  
New Technology ◽  
Specific Area ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Logic Control ◽  
Drilling Operations ◽  
Common Operation ◽  
Increasing Demand

Within the oil and gas industry, significant costs are often incurred by the operating company during the well-construction phase of drilling operations. Specifically, the operators cost to drill a well can cost tens or hundreds of millions of USD. One specific area where significant changes in drilling operations have occurred is in the offshore environment, specifically operations from mobile offshore drilling units (MODUs). With the ever-increasing demand for oil and gas, operators globally have increased drilling budgets in an effort to meet forecasted demand. However, the increased budgets are often eroded or offset by increasing drilling costs. Therefore, operators are continually in search of new technology, processes, or procedures to help improve drilling operations and overall operational efficiencies. One Latin America operator identified a common operation as a possible area where operational cost could be easily reduced through the implementation of systems that allow the manipulation of valve manifolds remotely. Additionally, operating such valve manifolds remotely enhanced operational safety for personnel, which was an equally important consideration. This paper details the evaluation of existing equipment and procedures and a process used to develop a new remote-control system using a machine logic control (MLC) that has been designed, built, tested, and deployed successfully on MODUs operating in Latin America.

scholarly journals Stochastic Simplex Approximate Gradient for Robust Life-Cycle Production Optimization: Applied to Brugge Field

2019 ◽  
Vol 141 (9) ◽  
Author(s):  
Bailian Chen ◽  
Jianchun Xu
Keyword(s):  
Life Cycle ◽  
Net Present Value ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Optimization Techniques ◽  
Production Optimization ◽  
Operating Conditions ◽  
Optimization Under Uncertainty ◽  
Theoretical Argument ◽  
Gas Industry

In oil and gas industry, production optimization is a viable technique to maximize the recovery or the net present value (NPV). Robust optimization is one type of production optimization techniques where the geological uncertainty of reservoir is considered. When well operating conditions, e.g., well flow rates settings of inflow control valves and bottom-hole pressures, are the optimization variables, ensemble-based optimization (EnOpt) is the most popular ensemble-based algorithm for the robust life-cycle production optimization. Recently, a superior algorithm, stochastic simplex approximate gradient (StoSAG), was proposed. Fonseca and co-workers (2016, A Stochastic Simplex Approximate Gradient (StoSAG) for Optimization Under Uncertainty, Int. J. Numer. Methods Eng., 109(13), pp. 1756–1776) provided a theoretical argument on the superiority of StoSAG over EnOpt. However, it has not drawn significant attention in the reservoir optimization community. The purpose of this study is to provide a refined theoretical discussion on why StoSAG is generally superior to EnOpt and to provide a reasonable example (Brugge field) where StoSAG generates estimates of optimal well operating conditions that give a life-cycle NPV significantly higher than the NPV obtained from EnOpt.

scholarly journals Advances in Asset Management Techniques: An Overview of Corrosion Mechanisms and Mitigation Strategies for Oil and Gas Pipelines

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Chinedu I. Ossai
Keyword(s):  
Risk Assessment ◽  
Asset Management ◽  
Oil And Gas ◽  
Operation Time ◽  
Oil And Gas Industry ◽  
Gas Production ◽  
Mitigation Strategies ◽  
Maintenance Cost ◽  
Oil And Gas Production ◽  
Management Techniques

Effective management of assets in the oil and gas industry is vital in ensuring equipment availability, increased output, reduced maintenance cost, and minimal nonproductive time (NPT). Due to the high cost of assets used in oil and gas production, there is a need to enhance performance through good assets management techniques. This involves the minimization of NPT which accounts for about 20–30% of operation time needed from exploration to production. Corrosion contributes to about 25% of failures experienced in oil and gas production industry, while more than 50% of this failure is associated with sweet and sour corrosions in pipelines. This major risk in oil and gas production requires the understanding of the failure mechanism and procedures for assessment and control. For reduced pipeline failure and enhanced life cycle, corrosion experts should understand the mechanisms of corrosion, the risk assessment criteria, and mitigation strategies. This paper explores existing research in pipeline corrosion, in order to show the mechanisms, the risk assessment methodologies, and the framework for mitigation. The paper shows that corrosion in pipelines is combated at all stages of oil and gas production by incorporating field data information from previous fields into the new field’s development process.

scholarly journals GAP ANAGAP ANALYSIS ON RISK BASED INSPECTION (RBI) IMPLEMENTATION AT PT. XYZLYSIS ON RISK BASED INSPECTION (RBI) IMPLEMENTATION AT PT. XYZ

2021 ◽  
Vol 5 (2) ◽  
pp. 624-634
Author(s):  
Atta Rizky Suharto ◽  
Fatma Lestari
Keyword(s):  
Asset Management ◽  
Oil And Gas ◽  
Gap Analysis ◽  
Group Discussion ◽  
Secondary Data ◽  
Oil And Gas Industry ◽  
Damage Mechanism ◽  
Management Policy ◽  
Primary Data ◽  
Integrity Management

Risk Based Inspection (RBI) has been implemented mainly in oil and gas industry to manage the risk of aging facilities. The RBI plan has also been introduced for new facilities and become part of the design requirements, making it the right time for PT. XYZ to improve their RBI implementation to support the Facility Risk Integrity Management System. This is a semi-quantitative study on primary data collected through focus group discussion using the RBI evaluation parameters based on API 580, API 581, and field observation and secondary data from previous RBI reports, maintenance program, and inspection program. Finally, an evaluation was conducted to assess whether the RBI management strategy has been integrated to the safety and asset management; inspection, testing, and monitoring; and operation strategies. This gap analysis aims to evaluate the effectiveness of the ongoing RBI implementation at PT. XYZ in general while specifically identify the part of RBI and related Asset Integrity Management already implemented and those that still need further improvement. Results show an overall score of 328 of 470, showing a good implementation of RBI. The largest gaps identified are RBI on specific equipment (score=3.0), documented RBI management policy and strategy (score=3.8), risk target and risk acceptable level (score=4.0), and specific damage mechanism components (score=5.3).

Asset management: listening to your asset

2019 ◽  
Vol 59 (2) ◽  
pp. 824
Author(s):  
David Walker
Keyword(s):  
Asset Management ◽  
High Frequency ◽  
Oil And Gas ◽  
Low Cost ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Vibration Data ◽  
New Frontier ◽  
Multiple Frequencies ◽  
Vibration Signatures

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.

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