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Novel Direct Multiphase Real Time Wellhead Measurement Using Wet-Gas Coriolis Technology in a Giant Gas Field- Case Study

Authors :
Ayesha Alsaeedi
Mohamed Mubarak Albadi
Ibrahim Eltony
Noora Al Mahri
Reem Alhammadi
Ammar Al-Ameri
Zeeshan Ahmad
Babar Saleem
Abullais Mundeth
Maryam Alblooshi
Abdulla Al Zarouni
Abdulla Alyammahi
Anubhav Agarwal
Muhammad Siddiqui
Maryam Al Hammadi
Muhammad Nasrullah
Janardhanan Kunissery
Chandramohan MC
Sherry Jacob
Source :
Day 2 Tue, November 01, 2022.
Publication Year :
2022
Publisher :
SPE, 2022.

Abstract

One of the key aspects of production optimization and monitoring towards digital transformation requirements is to have reliable and accurate data / measurement. This submission demonstrates how the smart technologies for direct wellhead measurement using Coriolis meter in gas field significantly help asset in production monitoring and Opex optimization while accurately regulating the field rates. The use of the smart technology in direct well head measurement provided real time insight into well production, with continuous and reliable quality data on production enabling Reservoir and Production Engineers to take timely decisions to optimize production, improve mass balance, better reservoir management, and reduce operating cost. The technology also had built in advanced diagnostics and connectivity features paving way for digitalization of oil fields and remote online access of data. The high operating range and flexibility in switching between wells offered ease of adaptability, reduced engineering, and commissioning costs as well as reduced maintenance and inventory requirement in mass implementation. Prior to scale-up, a trial / pilot was conducted in collaboration between ADNOC TC, Bab site Production & Instrumentation team and vendor for the technology over a period of 2 months. First, Multiple wells were selected from different operating envelop aiming different reservoirs. Then, the technology was tested by installing the Wet-Gas Coriolis meter in series with a portable well testing package provider. The measurement of the well tests from both techniques were compared. This is to evaluate the performance of the technology in having a reliable data compared with the current periodic measurement. Finally, evaluation report was produced to show the challenges, data verification and validation, then plan for wide field implementation. The technology provides real time insight and continuous monitoring of well production and its profile resulting in better production management. With direct real time well head measurement, significant CAPEX and OPEX savings can be achieved in additional to optimizing production with the use of digital transformation capable technology. Additionally, Support the asset digital and back allocation initiatives. Significant optimization on periodic portable separator well testing requirement. Permanent installation of the Wet Gas Coriolis meter on all wells will empower continuous production monitoring capabilities by increasing the availability of the real time multivariable well data. Continuous data and actionable insights will be used to identify new development opportunity to maximize recovery. Advanced diagnostics capabilities enable predictive maintenance and reducing operating costs. Improved Reservoir and well modeling and production management. No intervention cost required and enhanced HSE measures. Well behaviors change over time and can't be accurately predicted specially with the depleted wells. The current method of relying on intermittent well testing data is insufficient, expensive, labor intensive and increases safety risk. Continuous real time insight into production is essential in optimizing production, improving mass balance, better reservoir management and reducing optimizing cost. The implantation in 60 wells have a value proposition of $5.98 M over a period of 5 years.

Details

Database :
OpenAIRE
Journal :
Day 2 Tue, November 01, 2022
Accession number :
edsair.doi...........3483a931c5a5bdaa320bf0cd304ef7c1
Full Text :
https://doi.org/10.2118/211236-ms