Assessment of a Corrosion Under Insulation (CUI) Using DNV RP-F101 Procedure

Author(s):  
Afshin Motarjemi

Corrosion under insulation is a typical type of localised corrosion in oil and gas industry especially when water penetrates into a damaged thermal insulation/coating. An area of corrosion under insulation (CUI) was observed on the external surface of a pipe on topside of an offshore platform after removing the insulation. Surveys of depth measurements of the corroded area in both longitudinal and circumferential directions (with respect to the pipe axial direction) using a depth micrometer tool were performed and then converted to a river-bottom profile following the procedure of DNV RP-F101 Part A. A best estimate of the failure pressure safe working pressure (maximum operating pressure) of the pipe were calculated. The former was then compared against the finite element analysis (FEA) results which showed good agreement when axial stresses were excluded. The effect of assumptions such as confidence level and inspection sizing accuracy are also discussed.

Author(s):  
Frank Gareau ◽  
Alex Tatarov

Fibreglass reinforced plastic pipe (FRP) is the second most common type of pipe in the Canadian oil and gas industry, based on installed length. Industry methods to define risks and prevent failures are difficult because industry is still learning how these types of materials fail. Current industry failure records indicate that the failure rates for some of these materials are higher than steel failure rates. Unique details related to a specific FRP failure will be discussed in this paper. This failure occurred on an 8-inch OD FRP pipeline at the bottom of a riser. The failure resulted in a spill and a fire. The reasons for failure and fire initiation were analysed separately. The failure was a result of a combination of several types of stresses and material degradation. Both static and dynamic stresses contributed to the failure. • Ground settling resulted in high static bending stress of the last section of the pipeline connected to the riser elbow supported by the anchor. • The failure was in the last connection of the pipeline. Static tie-in stresses could have contributed to the failure. • Static stresses were evaluated using Finite Element Analysis (FEA) approach and found to be insufficient for the failure. • Dynamic stresses contributed to the failure. The failure happened soon after a power outage, when numerous wells were restarted, and several fluid surges may have occurred. • Material degradation associated with a specific orientation of glass fibres at the connection pup contributed to the failure. The failure sequence was established and different modes of fire initiation were analysed.


2021 ◽  
Vol 11 (1) ◽  
pp. 48-54
Author(s):  
The Man Nguyen ◽  
Duc Vinh Vu

: In the oil and gas Industry, insulation materials can be used widely for piping system, tank and vessel in either low or high temperature applications. CUI can cause equipment degradation, fluid leak, which lead to explosion or environmental pollution and the cost will very expensive. Therefore, CUI need to be detected early to prevent damage. Through experiment, Center for Non-Destructive Evaluation (NDE) studied on establishing and appliying 4 NDT procedures for CUI examination on typical petroleum piping using in Vietnam. A discussion is presented below


Author(s):  
G.A. Ermolaev ◽  
N.V. Gorbunov

Hydrocarbon raw materials are the cornerstone of modern civilization. Evaluating the resources of existing fields is the most important condition for making a decision on the feasibility of production using new technologies. We discuss the results of analysis and design of a rope tension sensor model for delivering specialized equipment to wells to determine the prospects of a well. The calculations were performed using the universal finite element analysis software package ANSYS.


2021 ◽  
Author(s):  
Ayman Amer ◽  
Ali Alshehri ◽  
Hamad Saiari ◽  
Ali Meshaikhis ◽  
Abdulaziz Alshamrany

Abstract Corrosion under insulation (CUI) is a critical challenge that affects the integrity of assets where the oil and gas industry is not immune. Its severity arises due to its hidden nature as it can often times go unnoticed. CUI is stimulated, in principle, by moisture ingress through the insulation layers to the surface of the pipeline. This Artificial Intelligence (AI)-powered detection technology stemmed from an urgent need to detect the presence of these corrosion types. The new approach is based on a Cyber Physical (CP) system that maximizes the potential of thermographic imaging by using a Machine Learning application of Artificial Intelligence. In this work, we describe how common image processing techniques from infra-red images of assets can be enhanced using a machine learning approach allowing the detection of locations highly vulnerable to corrosion through pinpointing locations of CUI anomalies and areas of concern. The machine learning is examining the progression of thermal images, captured over time, corrosion and factors that cause this degradation are predicted by extracting thermal anomaly features and correlating them with corrosion and irregularities in the structural integrity of assets verified visually during the initial learning phase of the ML algorithm. The ML classifier has shown outstanding results in predicting CUI anomalies with a predictive accuracy in the range of 85 – 90% projected from 185 real field assets. Also, IR imaging by itself is subjective and operator dependent, however with this cyber physical transfer learning approach, such dependency has been eliminated. The results and conclusions of this work on real field assets in operation demonstrate the feasibility of this technique to predict and detect thermal anomalies directly correlated to CUI. This innovative work has led to the development of a cyber-physical that meets the demands of inspection units across the oil and gas industry, providing a real-time system and online assessment tool to monitor the presence of CUI enhancing the output from thermography technologies, using Artificial Intelligence (AI) and machine learning technology. Additional benefits of this approach include safety enhancement through non-contact online inspection and cost savings by reducing the associated scaffolding and downtime.


Author(s):  
Sjur Lassesen ◽  
Frank Woll

The Steelproducts Offshore Compact Flange System (SPO CFS) has proven to be an exceptionally good flange design for the oil and gas industry with service temperatures normally ranging from −100°C to +250°C. High reliability, small size and low weight are properties the offshore industry has appreciated. The design relies on a high bolt pre-tension in order to obtain the double sealing capability and the static behavior. For limited temperatures, the high pre-tension can be applied without any risk of loosing the pre-tension when the operating temperature is reached. For high temperatures, the temperature dependent material properties in flange and bolt need to be carefully evaluated and taken into account when designing the connection. Finite element analysis simulating all relevant phases from flange make-up to process start up and shut down have been performed in order to study flange behavior such as bolt tension, flange stresses, and seal contact. Relatively simple analytical equations have been used in order to predict the flange behavior and hence been basis for choosing bolting material, prestress and flange face angle. For process industry dealing with temperatures up to 720°C, it is now possible to use compact flanges. The use of compact flanged connection will first of all increase the reliability of the flanged connection, reducing the need for maintenance.


2019 ◽  
Vol 121 ◽  
pp. 05002
Author(s):  
Mike O’Donoghue ◽  
Vijay Datta ◽  
Ian Fletcher ◽  
George Sykes

In the oil and gas industry, the application of epoxy phenolic coatings has been the main route to obtain high heat resistance from coatings and to mitigate corrosion under insulation (CUI) of both insulated carbon and stainless steel pipes operating up to 200°C. These coatings, however, are sensitive to over-application, are prone to cracking and costly to repair when damaged. Additionally, if they are applied below 10°C epoxy phenolic coatings do not cure properly and can fail prematurely, and when applied close to this temperature, can impact shop heating costs, maintenance schedules, and productivity.


2017 ◽  
Vol 9 (1) ◽  
pp. 168781401668427 ◽  
Author(s):  
Chunguang Wang ◽  
Krishnakumar Shankar ◽  
Evgeny V Morozov

Risers with high-grade steel are widely used in offshore oil and gas industry at present. The extreme weight, lower fatigue and corrosion resistance of steel risers significantly limited the exploitation depths and the production capacity. Nowadays, it is acknowledged that using fibre-reinforced polymer composites to manufacture risers can be a better option. The prototypes of composite risers fabricated and tested confirm that fibre-reinforced polymer composites have an obvious advantage over steel risers on weight saving. Three different approaches are developed here to minimise composite risers’ weights: (1) enhancing the riser with only axial-direction and hoop-direction fibre; (2) off-axis reinforcements are included using an iterative approach of manual inspection and selection and (3) employing the optimisation technique of surrogate-assisted evolutionary algorithm. These design approaches have been applied to eight different material combinations to achieve the minimum structural weight by optimising their laminate configurations. The designs are conducted in accordance with the Standards, considering both local load cases and global – functional as well as environmental loads using ANSYS 15.0. The results show that comparing with steel risers, weight savings achieved by different design approaches and material combinations are different.


Author(s):  
Emily Hutchison ◽  
John Wintle ◽  
Alison O’Connor ◽  
Emilie Buennagel ◽  
Clement Buhr

Life extension of ageing assets is becoming increasingly important for the offshore oil and gas industry. Many pressure vessels in service have reached or are about to reach the end of their design lives, but their continued operation is required until the economic field life is exhausted. Many vessels in-service were designed over 30 years ago, when fatigue assessment was not required by the design standards. Therefore, fatigue reassessment is a critical part of the life extension process. This paper presents reassessment of a benchmark vessel as a case study for life extension of other similar vessels. Life extension assessments are costly and time consuming, often hindered by a lack of information and a lack of access to the vessels. By determining the commonality between a vessel and the benchmark vessel, it may be possible with suitable on-going in-service inspection to justify life extension of the vessel without the need for a full fatigue life extension reassessment in every case. The case study considered in this paper is a condensate flash separator vessel constructed in the early 70s which was in operation for 25 years; and is similar to many pressure vessels still in service on offshore platforms. The fatigue lives of key features of the vessel have been calculated and compared using different modern pressure vessel design codes, supported by finite element analysis.


2021 ◽  
Author(s):  
Frode Wiggen ◽  
Maren Justnes ◽  
Sindre Espeland

Abstract Risk Based Management of Corrosion Under Insulation, DNVGL-RP-G109© Corrosion Under Insulation (CUI) is a major challenge for different process industries. Today it is managed in many ways, ranging from full removal of insulation to minimal maintenance including some inspection with insufficient non-destructive testing. These two extremes exhibit a lack of understanding and a lack of systematic approach in managing the CUI risk, globally. The paper will describe the results from a recent (2017-2019) CUI Joint Industry Project (JIP) where the oil and gas industry in the North Sea area has established a methodology for managing the CUI threat. In this context managing the CUI threat involves risk assessment, risk mitigation, risk update and experience transfer in a systematic manner. The methodology assesses four CUI barriers: material, coating, water wetting and design. DNV GL has made this methodology available for the industry in DNVGL-RP-G109 "Risk Based Management of Corrosion Under Insulation" Copyright © DNV AS. 2019 All rights reserved. (1) issued in December 2019. The Recommended Practice is issued alongside a cloud-based web application, the "CUI Manager" Copyright © DNV AS. 2020 All rights reserved. (2) that ease and supports the implementation of the work process described in the RP. This web application can be aligned with individual company specific requirements, as well as solely rely on the DNV GL RP methodology, or use a combination of the two.


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