Inching Toward Complete Well Integrity Management

2014 ◽  
Author(s):  
Sanjiv Kumar ◽  
Mohammed A. Al-Atwi ◽  
Abdulrahman K. Al-Mulhim ◽  
Mohammad A. Al-Otaibi ◽  
Mohammed S. Al-Mulhim ◽  
...  
Keyword(s):  
Well Integrity ◽  
Integrity Management

An Expert Software System has Accomplished Full Implementation of Well Integrity Management System WIMS Resulting to Excellent Safety and Production Sustainability for Critical Sour HPHT Field in Offshore Madura Strait, Indonesia

2021 ◽  
Author(s):  
Fianti Ramadhani ◽  
Syaiful Nurdin ◽  
Michael Olu Etuhoko ◽  
Yang Zhi ◽  
Sugeng Mulyono ◽  
...  
Keyword(s):  
Management System ◽  
Material Selection ◽  
International Standards ◽  
Software System ◽  
Well Performance ◽  
Integrity Test ◽  
Well Integrity ◽  
High Pressure High Temperature ◽  
Integrity Management ◽  
Productive Assets

Abstract Four high-pressure-high temperature (HPHT) and sour gas wells are currently operating at Madura offshore as the only productive assets for Husky-CNOOC Madura Limited (HCML). Each well performance is very crucial to fulfill the demand of the gas customers in East Java, Indonesia. Since starting production in 2017, the wells experienced two main well integrity challenges, high annulus pressure and wellhead growth. Both challenges are very dependent to the well flow rate and the flow duration. A continuous operation monitoring is highly required in order to keep the wells operating safely. To overcome the challenges, HCML established a Well Integrity Management System (WIMS) document that approached several international standards as its basis. As company grows, development plan challenged the WIMS to perform faster and more efficient as compared to the existing manual system. From there, the journey of WIMS digitalization began. The journey started with the alignment of the existing WIMS document to the ISO-16530-1 at Operational Phase with more stringent boundary to operate the wells safely. The alignment covers, but not limited to the organizational structure, well barriers and criteria, monitoring and surveillance, annulus pressure management, and maintenance. The document also covered risk assessment and management of well integrity failure, which was the backbone of the WIMS digitalization. The current digital solutions allow production data to be accessed and retrieved directly from the system for analysis purposes. It compares the recorded data with pre-determined rules and parameters set in the system. It triggers a notification to the responsible personnel to perform the required action should any anomaly occurs. It also can send a reminder to users to schedule and complete a well Integrity test to ensure that a well is always in compliance with the WIMS. All test reports and documentation are stored in the system as preparation for any future audit. A key requirement of the expert software system was access to future developments that can offer enhanced functionality of the well integrity platform through additional near time capabilities such as predictive erosion and corrosion for downhole flow wetted components. This is being developed to enhance workover scheduling for existing wells and material selection for new wells and is planned to update automatically critical well integrity criteria such as tubing burst, collapse and MAASP.

Well Integrity Management: Challenges in Extending Life of a Mature Gas Condensate Field – A Case Study

2017 ◽  
Author(s):  
S. Jain ◽  
M. A. Al Hamadi ◽  
H. Saradva ◽  
J. Asarpota ◽  
S. J. Sparke ◽  
...  
Keyword(s):  
Gas Condensate ◽  
Well Integrity ◽  
Integrity Management

Effectiveness Well Integrity Management for Casing Leak Detection Utilizing Temperature Profile in Offshore Oil Field

2020 ◽  
Author(s):  
Abdullah M. Al-Dhafeeri ◽  
Shebl Fouad Abo Zkery ◽  
Sultan A. Al-Aklubi ◽  
Saad Ahmed Al Sdeiri
Keyword(s):  
Temperature Profile ◽  
Leak Detection ◽  
Oil Field ◽  
Well Integrity ◽  
Integrity Management ◽  
Offshore Oil

Well integrity management: “a way to do it in real time using a novel quantitative reliability model”

2020 ◽  
Vol 20 (2020) ◽  
pp. 155-156
Author(s):  
Luiz Fernando Seixas De Oliveira ◽  
Joaquim Domingues do Amaral Netto ◽  
Danilo Colombo
Keyword(s):  
Real Time ◽  
Reliability Model ◽  
Well Integrity ◽  
Integrity Management

Development of a Digital Twin for Well Integrity Management in Underground Gas Storage Fields

2021 ◽  
Author(s):  
Carlo Busollo ◽  
Stefano Mauro ◽  
Andrea Nesci ◽  
Leonardo Sabatino Scimmi ◽  
Emanuele Baronio
Keyword(s):  
Flow Rate ◽  
Gas Storage ◽  
Fine Tuning ◽  
Digital Model ◽  
Health State ◽  
Underground Gas Storage ◽  
Digital Twin ◽  
Test Execution ◽  
Well Integrity ◽  
Integrity Management

Abstract Objective Digitalization is offering several chances to improve performance and reliability of Underground Gas Storage (UGS) infrastructures, especially in those sites where ageing would require investment improvement for maintenance and monitoring. In that context, well integrity management can benefit from the implementation of a well digital twin, integrated with real time monitoring. The work proposes a digital model of the well that can provide a valuable tool to analyse its non stationary states in order to evaluate the integrity of the barriers and its health state. Methods, Procedures, Process The key points on well integrity management are barriers testing/qualification and annular pressure monitoring, and in UGS operations it’s crucial the selection of the timing of barrier assessment and of diagnostic test execution to correctly evaluates the results. The digital model can provide a tool to help the well engineer to understand the health state of the well and to plan maintenance activities. It considers a physical model of the well composed by gas and liquid filled chambers in the annuluses and in the tubing case and all the potential leak paths that could connect the annuluses, the tubing case, and the reservoir to the external environment. Each chamber is modelled considering its mass and energy balance, while fluid resistances describe fluid leakage across the barriers. Appropriate models, selected according to the geometry and type of each well barrier, describe each fluid resistance. The input parameters are the well architecture, flowing tubing temperature and pressure and gas flow rate. The model provides pressure and temperatures trends and estimates of leak rates trends or annular liquid level movements during the observation time window. The fine tuning of the model of each well is carried out by seeking for the values of the parameters that best describe each single leak path, such as size and position of the leaking point, with a genetic algorithm. Results, Observations, Conclusions The model has been customised and validated over several wells, some of which with perfect integrity status and others with some integrity issues. Results showed a very good fit with field data, as well as high precision in identifying leak position and size. The tool can also be applied to forecast well behaviour after the application of mitigating action or to simulate the evolution of the leak. Example applications are the evaluation of the correct time to top up a casing with liquid or nitrogen or the effect on annular pressure of limiting withdrawal or injection flow rate.

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