Leveraging Data-driven Exception Based Surveillance to Maximize Returns in Times of Low Oil Prices

Agrawal, Amol; Lie, Joel; Leeuwen, P. van; Airehrour, David; Briers, Jan; Pei-Huey, Phua; Ann, Sniekers; Enns, Rick

doi:10.2118/181080-ms

Cited by 6 publications

(1 citation statement)

References 9 publications

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“…As discussed above, MBE operates based anomaly detection procedure. Lazarevic et al categorized anomaly detection methods into two approaches, namely supervised and unsupervised approaches (7). Supervised approach carries out anomaly detection based on labeled data set.…”

Section: Anomaly Detectionmentioning

confidence: 99%

A Review on “Management by Exception” Surveillance for Well Management: To maximize Oil Production

Malik¹,

Hasan²,

Jasamai³

2018

IJET

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The business processes and decisions of oil and gas operations generate large amounts of data, which causes surveillance engineers to spend more time gathering, and analyzing them. To do this manually is inefficient. Hence, this study is proposed to leverage on data driven surveillance by adopting the principle of management by exception (MBE). The study aims to minimize the manual interaction between data and engineers; hence will focus on monitoring well production performance through pre-determined parameters with set of rules. The outcome of this study is a model that can identify any deviations from the pre-set rules and the model will alert user for deviations that occur. The model will also be able to predict on when the well be offline if the problem keeps on persisting without immediate action from user. The objective of this paper is to present a literature review on the prediction and management by exception for the above mentioned well management. The results presented in this paper will help in the development of the proposed prediction and management model. The literature review was conducted based on structured literature review methodology, and a comparative study among the collected works is analyzed and presented in this paper.

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Section: Anomaly Detectionmentioning

confidence: 99%

A Review on “Management by Exception” Surveillance for Well Management: To maximize Oil Production

Malik¹,

Hasan²,

Jasamai³

2018

IJET

View full text Add to dashboard Cite

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Looking Back 2006 - 2016 - Ten Years of Data Driven Well Rate Estimates for Real-Time Surveillance and Optimization

et al. 2016

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On the tenth anniversary of the first Intelligent Energy Conference held in 2006, it is appropriate to look back at some of the technologies introduced at the time, and report out on how these have been progressed. This paper discusses one of the technologies: the use of data driven models for well rate estimation, to support and enable real-time surveillance and optimization. In the early 2000s real-time data from oil and gas fields became available in abundance on engineering central office desktops via process data historians and wide area / global communications networks. A key challenge to production management, then, as now, was: "What are the wells producing?" The April 2006 SPE Paper 99963 introduced data driven modelling for continuous well production surveillance leveraging on the suddenly abundant and often very revealing PI data. Today, ten years later, a stream of success stories on the use real time well rate estimates based on data driven models continue to be reported, and these tools are seen as best practice in many different operational scenarios. This paper reviews the key concepts introduced in 2006, and extensions and applications of the technology to various aspects of production surveillance and optimization. As with all innovations, the most challenging elements in the journey have been related to people and processes. The paper discusses these issues in relation to the important role played by technology integration themes such as Smart Fields.

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Surface Management of Gas Breakthrough in Thin Oil Rim Waxy Reservoir: A Case Study

et al. 2016

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With technological advancements, new and improved techniques have progressively been deployed to maximize recovery from a thin oil rim development. While some of them have a lasting influence on the well behavior such as placement of the well bore in the oil column, others such as zonal control using Sliding Side Doors (SSDs), Interval Control Valves (ICVs) or Interval Control Devices (ICDs) provide flexibility for altering well performance during operating life of the well. However, any intervention be it the subsurface zone manipulation or surface choke manipulation or ICV control needs to be justified in view of the anticipated gains against the risk incurred and resources required for the intervention on the basis of well performance (test data) and subsurface interpretation. The field for this case study is a thin oil rim with a large gas cap and a high wax content facing twin challenges – gassing out of wells and waxing of tubulars and flowlines – both of which require an optimization of preventive interventions to minimize deferment and corrective interventions. The required interventions such as choke and gas lift changes, zone changes, scraping, hot-oiling, steaming and pigging consume significant man-hours for surveillance, planning, execution and monitoring of the impact of the job on well performance. The desire to follow each intervention by a well test for system optimization overwhelms an already stretched routine well testing schedule. The resultant deferment due to sub-optimal production was estimated to be 10-15%. The solution was in breaking down the problem into mini-challenges and addressing them by deploying robust technologies and adopting smarter ways of working. In this paper a simple surface technology that helps managing gas breakthrough is presented. This technology when combined with smart surveillance techniques enables efficient Well, Reservoir and Facility Management (WRFM) for thin oil rims with added wax challenge. Following impacts have been seen: An average increase in production by 10% was realized. The project payback was less than 2 months.Up to 80 man-hours per week were freed allowing team to focus on additional barrel generating opportunities.Reduced Health, Safety, Security and Environment (HSSE) risk corresponding to reduced well intervention besides stabilized production.Reduced deferment by optimal timing of preventive intervention and reduced risk of incurring cost and deferment from a corrective or reactive intervention.Improved team productivity and fresh energy from use of smart ways of working. The novelty of this surface technology for managing gas breakthrough is in its ability to optimize, accelerate and thereby squeeze production from a thin oil rim development in the license period. The resulting production stability then provides a basis for deploying smart surveillance techniques for sustainable increased efficiency.

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Leveraging Data-driven Exception Based Surveillance to Maximize Returns in Times of Low Oil Prices

Cited by 6 publications

References 9 publications

A Review on “Management by Exception” Surveillance for Well Management: To maximize Oil Production

A Review on “Management by Exception” Surveillance for Well Management: To maximize Oil Production

Looking Back 2006 - 2016 - Ten Years of Data Driven Well Rate Estimates for Real-Time Surveillance and Optimization

Surface Management of Gas Breakthrough in Thin Oil Rim Waxy Reservoir: A Case Study

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