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Mohd Jeffry, Suzanna Juyanty (PETRONAS Carigali Sdn Bhd) | Trjangganung, Kukuh (PETRONAS Carigali Sdn Bhd) | Madon, Bahrom (PETRONAS Carigali Sdn Bhd) | James Berok, Sylvia Mavis (PETRONAS Carigali Sdn Bhd) | Mohd Arifin, Azahari (Schlumberger WTA Malaysia Sdn Bhd) | Hermann, Roland (Schlumberger WTA Malaysia Sdn Bhd) | Baker, Andrew (Schlumberger WTA Malaysia Sdn Bhd)
Candidate screening for matrix acidizing has gained attention in recent years due to the importance in driving towards acidizing success rate and efficiency improvement. This paper presents a comprehensive workflow featuring a simple step-by-step method utilizing mainly production and basic reservoir data. The objective of the workflow was to ensure the right candidates were selected, standardized checklist of information being reviewed and time saving to shortlist wells with formation damage issues. Basic production data such as liquid rate (oil and water rates), water cut, gaslift rate and sandcount along with basic reservoir data such as permeability and height were powerful parameters that drive the workflow. Formation Damage Indicator (FDI) and Heterogeneity Index (HI) concepts were introduced to provide the initial screening of the wells. Other subsequent parameters were evaluated according to specific cut-off values. These cut-off values have made the workflow standardized and practical to speed-up the screening of candidates. Once the wells have passed through the workflow, the shortlisted candidates were matured by performing nodal analysis, studying on the detailed formation damage type and skin evaluation, formulating the remedial solution and quantifying the potential gain.
This workflow was tested throughout selected fields in the Malaysia region operated by PETRONAS Carigali, which proved to be efficient in identifying the acidizing candidates. The ultimate aim of the work was to automate the selection of wells with productivity issues using real-time data. The workflow was then brought into an Integrated Operations (IO) environment using the same step-by-step method whereby the required data used for the screening process were pulled from corporate database. The IO environment retrieves data from master and asset databases to perform calculations using various parameters with its cut-off values. Using this method, candidate screening processes were shortened from two weeks to one day. In total, 750 strings were analyzed using this workflow, which resulted in 101 strings shortlisted as stimulation candidates. Twenty-eight strings have been executed from year 2017 until 2018 with a total 6500 bopd gain. Success rate has improved from 55% to 73%.
The additional benefit of the workflow was also the ability to group wells with lifting issues, water production problems and sand production issues. The unique digitalized workflow is now a one-click exercise, which enables engineers to increase their operational efficiency resulting in huge cost and time saving opportunities.
Mohd Hatta, Siti Aishah (PETRONAS Carigali Sdn. Bhd.) | Masngot, Ainul Azuan (PETRONAS Carigali Sdn. Bhd.) | Sidek, Sulaiman (PETRONAS Carigali Sdn. Bhd.) | M Yusuf, M Hafizi (PETRONAS Carigali Sdn. Bhd.) | Tan, Kok Liang (PETRONAS Carigali Sdn. Bhd.) | Goh, Kellen Hui Lian (PETRONAS Carigali Sdn. Bhd.) | Tang, Catherine Ye Lin (PETRONAS Carigali Sdn. Bhd.) | Bernard, Caesarsokate (PETRONAS Carigali Sdn. Bhd.) | Mawardi, M Hizbullah (PETRONAS Carigali Sdn. Bhd.) | Hamzah, Haziqah (PETRONAS Carigali Sdn. Bhd.) | Mohd Jeffry, Suzanna Juyanty (PETRONAS Carigali Sdn. Bhd.) | Riyanto, Latief (PETRONAS Carigali Sdn. Bhd.) | Samaile, Eddy (PETRONAS Carigali Sdn. Bhd.) | Ahmat Kamis, Azman (PETRONAS Carigali Sdn. Bhd.) | Ahnap, Muhammad Al-Siediq (Setegap Ventures Petroleum Sdn. Bhd.) | Ramli, Zaizul Kamal (Al-Cube Sdn. Bhd.) | See, Chun Hwa (Al-Cube Sdn. Bhd.)
Oil production from the field begin with the first oil in January 2003. Unfortunately, the wells produced viscous emulsion which caused the production decline rapidly. Further analysis of the production data showed that the decline in production over a long period of time is very consistent with organic deposition at or near the perforation interval.
Over the years, several analyses and production enhancement efforts including chemical and mechanical treatments have been attempted with minimal success. The damaging mechanism was determined to be caused by rare High Molecular Weight Organic Deposit (HMWOD) that have caused a significant pressure drop in the tubing, which consequently restrict oil production and tested to only disperse at above 90°C. It was suspected that the deposit was a naturally-occurring component of the crude oil itself, separating from the bulk of the crude as a consequence of the fluids movement towards the wellbore and the consequent drop in fluid pressure.
An eco-friendly nano-fluid was developed and pilot treatment conducted in February 2014, which successfully rejuvenated the well back to production. Subsequent treatment was conducted in early 2018 on the same well and later replicated on another well as part of technology maturation process. This paper incorporates laboratory tests conducted to customize the nano-fluid, engineering approach on the treatment volume, simulation analysis on treatment schedules, treatment procedure as guidance for offshore personnel and actual field result of the treatments.
Remedial treatment for near wellbore HMWOD using novel nano-fluid has successfully revived the wells back to production. Further development and replication would open-up bigger opportunities to unlock potential of wells with similar organic deposit issue throughout PETRONAS' operation.
Gupta, Anish (PETRONAS) | Narayanan, Puveneshwari (PETRONAS) | Trjangganung, Kukuh (PETRONAS) | Mohd Jeffry, Suzanna Juyanty (PETRONAS) | Tan, Boon Choon (PETRONAS) | Awang, M Rais Saufuan (PETRONAS) | Badawy, Khaled (PETRONAS) | Yip, Pui Mun (PETRONAS)
A matrix stimulation candidate screening workflow was developed with the objective to reduce the time and effort in identifying under-performing wells. The workflow was initially tested manually for few fields followed by inclusion in Integrated Operation for an automated screening of wells with suspected formation damage. Analysis done in three fields for stimulation candidate selection will be displayed with actual statistics.
The main aim of the work was to digitalize the selection of non-performing candidates rather than manually looking into performance of each well. A concept of Formation Damage Indicator (FDI) was combined with Heterogeneity Index (HI) of the formations to screen out the candidates. Separate database sets of Reservoir engineering, Petrophysicist and Production was integrated with suitable programming algorithms to come up with first set of screened wells evaluating well production performances, FDI and HI trends up to over the last 30 years. The shortlisted candidates were further screened on the basis of practical approach such as gas lift optimization, production trending, OWC-GOC contacts, well integrity and well history to come up with second round of screened candidates. The final candidates were analyzed further using nodal analysis models for skin evaluation and expected gain to come up with type of formation damage and expected remedial solution.
For fields A and D with a total of 210 strings each, the initial FDI and HI screening resulted in 70 and 120 strings being shortlisted, respectively. This was followed by a second round of screening with 25 and 35 strings being further shortlisted as stimulation candidates, respectively. Nodal analysis models indicated presence of high skin in 90% of the selected wells indicating a very good efficiency and function-test of the workflow. In addition to selection of the candidates, the identification of formation damage type was compiled on an asset-wise basis rather than field basis which helped in more efficient planning of remedial treatments using a multiple well campaign approach to optimize huge amount of cost. The entire screening process was done in one month which was earlier a herculean task of almost one year and much more man-hours. With effective manual testing of the workflow in two major fields, workflow was included in Integrated Operations for future automation to conduct the same task in minutes rather than months.
With this digitalized unique workflow, the selection of under-performing wells due to formation damage is now a one click exercise and a dynamic data. This workflow can be easily operated by any engineer to increase their operational efficiency for flow assurance issues saving tons of cost and time.