Revolver multi port valve (MPV) with an automatic leak detection system. Operating experience at Orenburg oil and gas-condensate field

Pipelines leaks normally begin at poor joints, corrosions and cracks, and slowly progress to a major leakage. Accidents, terror, sabotage, or theft are some of human factor of pipeline leak. The primary purpose of Pipeline leak detection systems (PLDS) is to assist pipeline operators in detecting and locating leaks earlier. PLDS systems provide an alarm and display other related data to the pipeline operators for their decision-making. It is also beneficial because PLDS can enhance their productivity by reduced downtime and inspection time. PLDS can be divided into internally based or computational modeling PLDS Systems and external hardware based PLDS. The purpose of this paper is to study the various types of leak detection systems based on internally systemtodefine a set of key criteria for evaluating the characteristics of this system and provide an evaluation method of leak detection technology as a guideline of choosing the appropriate system.

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Formulation and Analysis of the Probability of Detection and False Detection for Subsea Leak Detection Systems

Volume 1: Design and Construction; Environment; Pipeline Automation and Measurement ◽

10.1115/ipc2014-33661 ◽

2014 ◽

Cited By ~ 2

Author(s):

Alireda Aljaroudi ◽

Faisal Khan ◽

Ayhan Akinturk ◽

Mahmoud Haddara ◽

Premkumar Thodi

Keyword(s):

Oil And Gas ◽

Detection System ◽

Oil And Gas Industry ◽

Leak Detection ◽

Probability Of Detection ◽

Operating Conditions ◽

False Detection ◽

Potential Threat ◽

Probability Of False Alarm ◽

Detection Systems

Insuring the integrity of subsea process component is one of the primary business objectives for oil and gas industry. One of the systems used to insure reliability of a pipeline, is the Leak Detection System (LDS). Different leak detection systems use different technologies for detecting and locating leaks that could result from pipelines. One technology in particular that is gaining wide acceptance by the industry is the optical leak detection systems. This technology has great potential for subsea pipelines applications. It is the most suited for underwater applications due to the ease of installation and reliable sensing capabilities. Having pipelines underwater in the deep sea present a greater challenge and a potential threat to the environment and operation. Thus, there is a need to have a reliable and effective system to provide the assurances that the monitored subsea pipeline is safe and functioning as per operating conditions. Two important performance parameters that are of concern to operators are the probability of detection and probability of false alarm. This article presents a probabilistic formulation of the probability of detection and probability of false detection for fiber optic LDS based systems.

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Kedung Keris Full Well Stream Pipeline Fiber Optic Leak Detection System

10.2118/205776-ms ◽

2021 ◽

Author(s):

Cindy Chairunissa ◽

Deny Kalfarosi Amanu ◽

Grizki Astari ◽

Eska Indrayana

Keyword(s):

Oil And Gas ◽

Produced Water ◽

Fiber Optic ◽

Detection System ◽

New Technology ◽

Cost Savings ◽

Leak Detection ◽

Oil Field ◽

Real Time Analysis ◽

Water Pipeline

Abstract Kedung Keris (KK) is a sour oil field based in Cepu Block, Indonesia. KK field was originally planned to have a processing facility with separate pipelines to deliver crude & produced water, while the gas was planned to be flared. To reduce cost, this concept was changed to a wellpad with full well stream pipeline with new technology of Fiber Optic Leak Detection Sensing System (LDSS) as a key enabler. The fiber optic LDSS functions by leveraging fiber optic cable attached to the pipeline to detect leak as well as intrusion to the pipeline's Right-of-Way through real-time analysis of physical characteristics of a leak and intrusion, such as changes in temperature, pressure, ground strain and acoustics. The implementation of LDSS, together with other safeguards built into the pipeline design, operations and maintenance, allowed the KK Project to eliminate the separation facility at KK wellpad and an additional water pipeline. It also reduces the flaring by billions of standard cubic feet of gas cumulative until end of PSC life as originally all gas planned to be flared. The change of KK Project concept altogether yielded tens of millions of US dollar gross cost savings (~30% of CAPEX + OPEX reduction) following the KK startup in late 2019. The installed LDSS proven to detect leak for up to few meters location accuracy and has intrusion detection capability. KK Project has pioneered the implementation of fiber optic leak detection system for Indonesia oil and gas companies. This work provided further insight to the utilization of such technology in full well stream pipeline where traditional leak detection system implementation will not be acceptable. Consecutively, full well stream pipeline deployment can lead to future CAPEX + OPEX efficiency in facility project design and operation, as well as flaring reduction opportunity.

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Leak Detection System Applicability for Offshore and Onshore Oil and Gas Pipelines

10.2118/194622-ms ◽

2019 ◽

Cited By ~ 1

Author(s):

Nikita Mishra ◽

Anup Saraf

Keyword(s):

Oil And Gas ◽

Detection System ◽

Leak Detection ◽

Gas Pipelines ◽

Oil And Gas Pipelines

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Pipeline Leak Detection System for Oil and Gas Flowlines

Journal of Manufacturing Science and Engineering ◽

10.1115/1.2836545 ◽

1997 ◽

Vol 119 (1) ◽

pp. 105-109 ◽

Cited By ~ 17

Author(s):

J. M. Rajtar ◽

R. Muthiah

Keyword(s):

Acoustic Emission ◽

Oil And Gas ◽

Production Systems ◽

Detection System ◽

Leak Detection ◽

Production Costs ◽

Closed Field ◽

Two Phase ◽

Expected Performance ◽

Potential Applications

Petroleum fluids in production systems are frequently transported by surface steel pipelines of low diameter working at low pressures and under a two-phase flow regime. These pipelines operate without permanent, continuous supervision for leaks. The leaked volume is usually high before the leak is noticed and stopped. High leak volumes pollute the environment and increase production costs. This paper describes the expected performance of the acoustic emission leak detection system for low pressure flowlines in oil and gas gathering installations. The developed system detects acoustic emission signals generated by leaks. Specific features of the system are discussed. The system was tested in a closed field scale two-phase flowloop. Example results of tests are reported. The paper is completed with conclusions and discussion of potential applications of the system.

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The New CSA Standard for Leak Detection

2010 8th International Pipeline Conference, Volume 3 ◽

10.1115/ipc2010-31614 ◽

2010 ◽

Author(s):

Don Scott ◽

Ulli Pietsch

Keyword(s):

Oil And Gas ◽

Task Force ◽

Detection System ◽

Leak Detection ◽

Liquid Hydrocarbon ◽

Technical Committee ◽

Gas Pipeline ◽

Current Technology ◽

The Us ◽

Pipeline Systems

Standards and Recommended Practices require periodic updating so they represent current technology and industry practices. Canadian Standards Association (CSA) Z662 “Oil and Gas Pipeline Systems” contains Annex E that covers software-based leak detection for liquid hydrocarbon pipelines. The CSA Technical Committee determined that is was time to update Annex E. A Task Force of industry experts and regulators met over a period of 18 month to draft a new Annex E. This paper outlines some of the significant features of the new Annex and where possible does a comparison with the similar section in American Petroleum Institute’s API 1130 which covers recommended practice for software based leak detection in the US. A pipeline operator should consider using both Annex E and API 1130 in the implementation and use of a software-based leak detection system. The CSA Task Force did not want to copy and modify API 1130 to provide a new Annex E, so both documents provide necessary information.

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Volumetric flow and pressure gradient-based leak detection system for oil and gas pipelines

International Journal of Oil Gas and Coal Technology ◽

10.1504/ijogct.2020.10029160 ◽

2020 ◽

Vol 25 (3) ◽

pp. 340

Author(s):

Muhammad Nasir Khan ◽

Amna Mir ◽

Muhammad Asim Mond ◽

Mukarram Riaz ◽

Ishtiaq Ahmad

Keyword(s):

Pressure Gradient ◽

Oil And Gas ◽

Detection System ◽

Leak Detection ◽

Gas Pipelines ◽

Oil And Gas Pipelines ◽

Gradient Based

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Probabilistic Performance Assessment of Fiber Optic Leak Detection Systems

Volume 4B: Structures, Safety and Reliability ◽

10.1115/omae2014-24329 ◽

2014 ◽

Author(s):

Alireda Aljaroudi ◽

Faisal Khan ◽

Ayhan Akinturk ◽

Mahmoud Haddara

Keyword(s):

Performance Assessment ◽

Oil And Gas ◽

Fiber Optic ◽

Detection System ◽

Financial Burden ◽

Limit State ◽

Leak Detection ◽

False Detection ◽

Detection Systems ◽

Detection Failure

Leak Detection Systems play a major role in enhancing reliability and operability of oil and gas pipelines. They have the functional capabilities to detect, locate and quantify leaks before they can cause drastic effects to environment and operation. The performance of Leak Detection Systems is typically affected by three different failures that have severe consequences, namely, delayed detection, missed detection and false detection of a leak. These failures pose a financial burden on operating companies. Missed detection leads to oil spill and exposes operating companies to financial risk and destroyed image while false detection results in unnecessary deployment of personnel and equipment. To insure operation continuity and maintain safe environment, Leak Detection Systems should be assessed at regular basis. To fulfill this need, a probabilistic performance assessment scheme based on limit state approach for Fiber Optic Leak Detection System (LDS) has been developed. The inherent uncertainties associated with leak detection and reporting capabilities are modeled to determine the LDS detection failure probability that combines two failure events, missed detection and delayed detection. Moreover, the probability of false detection is derived in terms of the lowest detectable change, the threshold. These three parameters establish the basis for an overall assessment scheme that can be used at any time to provide an up to date assessment about the Leak Detection System. The results will serve as the basis for deciding the actions that need to be taken to upgrade, repair or replace the system components or the system as a whole. The proposed assessment scheme has been applied to a case study to demonstrate its usefulness and feasibility.

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