Unlocking Challenges in Water Injection Development Schemes Utilizing a Novel IRM Automation Workflow for Opportunities Generation
- Alaa Shbair (ADNOC Onshore) | Luigi Saputelli (ADNOC) | Firdaus Noordin (ADNOC Onshore) | Victor Bogoslavets (Baker Hughes) | Younes Alblooshi (ADNOC) | Abdulrahman Al Soufi (ADNOC Onshore) | Mohammed Hijjawi (ADNOC Onshore)
- Document ID
- Society of Petroleum Engineers
- Abu Dhabi International Petroleum Exhibition & Conference, 11-14 November, Abu Dhabi, UAE
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Petroleum Engineers
- Automatoin opportunity generation, Water slumping /inverted coning chara, AICD completion technique, Value of information analysis, WI development Schemes
- 12 in the last 30 days
- 113 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 9.50|
|SPE Non-Member Price:||USD 28.00|
Water injection is by far the most popular method used in the secondary recovery phase of field development for oil displacement and pressure maintenance. Proactive reservoir management is important to validate the efficiency of the existing water injection schemes and to assess field development strategies to prolong oil production plateau and improve the recovery factor (RF). The main challenges arise in stretching the reservoir target whilst ensuring stabilized or reduced water cut (WCT), minimizing by-passed oil volumes and preventing wells from becoming inactive due to high WCT.
In order to mitigate premature water flooding issues, mainly two options are available: (1) artificial lift techniques to activate producers suffering early and rapid water breakthrough; and (2) optimized completion designs via preventive or corrective controls. Preventive (i.e. proactive) approach involves segmenting the wellbore using sliding sleeves, influx control equipment, limited-perforated liners, while corrective (i.e. reactive) methods attempt to divert/remedy unwanted water influx via water-shut off (WSO) interventions. None of these alternatives can be fully pursued as full-field development strategies without realizing the technical limitations as well as their economic benefits.
The objective of this paper is to determine the value of applying subsurface water control strategies in the context of enhancing reservoir management and develop a novel framework to assess potential remediation opportunities. The technical evaluation was supported by a robust Integrated Reservoir Management (IRM) process. This process identified the rig/rigless jobs opportunities to intervene inactive wells due to high WCT and rank all possible mitigation methods in an automated economic manner.
The findings have also proved the value of installing autonomous inflow control devices (AICDs) to control water production along horizontal sections. In effect, it controlled water slumping without jeopardizing oil production of wells awaiting gas lifting. A case scenario of combined Gas-lift and ICD deployments suggested a net incremental value of $66 million (or 106%). Field test results of the horizontal well’s production and WCT were found to be within 10% of the expected planned rates, and the oil gain is expected to further improve by 50% when gas-lift is commenced.
|File Size||1 MB||Number of Pages||18|
Al Marzouqi M. A, Bahamaish J., Al Jenaibi H., Al Hammadi H., and Saputelli L., (2016) "Building ADNOC’s Pillars for Process Standardization and Best Practices through an Integrated Reservoir Management Framework", Paper SPE-183421-MS, presented at the Abu Dhabi International Petroleum Exhibition and Conference held in Abu Dhabi, UAE, 7–10 November 2016
Al Marzouqi M. A,Bahamaish J., and Saputelli L., (2017) "Benefits of Implementing Integrated Reservoir Management (IRM) framework by closing gaps in People, Process and Technology - Second Act", Paper SPE-188348-MS, presented at the Abu Dhabi International Petroleum Exhibition and Conference held in Abu Dhabi, UAE, 13-16 November 2017
Al Marzouqi M. A., Saputelli L.A., Abdou M., Narayanan R., David R.M.Ismail A., (2018) "Reservoir Health Indicators driving Performance through Prescriptive and Predictive data analytics", SPE-192881 presented at the Abu Dhabi International Petroleum Exhibition and Conference held in Abu Dhabi, UAE, 7–10 November 2018.
Alblooshi Y.A. and Wojtanowicz A.K. (2018): Dynamic Water Control in Naturally Fractured Bottom Water-Drive Reservoirs via Downhole Water Sink Well Deployment: First Experimental Study, presented at the Research and Development Petroleum Conference and Exhibition, Abu Dhabi, UAE, 9-10 May, American Association of Petroleum Geologists, Society of Exploration (2018), pp. 128-131
Alimkhanov, R., & Samoylova, I. (2014, October 14). Application of Data Mining Tools for Analysis and Prediction of Hydraulic Fracturing Efficiency for the BV8 Reservoir of the Povkh Oil Field. Society of Petroleum Engineers. doi:10.2118/171332-MS
Jaripatke O. and Dalrymple D., (2010). Water-Control Management Technologies: A Review of Successful Chemical Technologies in the Last Two Decades, Paper SPE No. 127806 presented at the 2010 SPE International Symposium and Exhibition on Formation Damage Control held in Lafayette, Louisiana, USA, 10-12 Feb
Keshka A. A., Gomes J. S., Kenawy M. M., Hafez H. H., Al Olama S., Al-Bakr S., Abdul Samad K. A., (2009). Full-Field Development Plan "The Big Picture - Creating the Future from the Future and Success through Real Synergy, SPE Paper 120429 presented at the SPE Middle East Oil and Gas Show and Conference held in Manama, Bahrain, 15-18 Mar
Pankaj, P., Geetan, S., MacDonald, R., Shukla, P., Sharma, A., Menasria, S., Judd, T. (2018, April 30). Application of Data Science and Machine Learning for Well Completion Optimization. Offshore Technology Conference. doi:10.4043/28632-MS
Petrowiki, 2016. ‘Controlling Excess Water Production’. (19 January 2016 revision). https://petrowiki.org/Controlling_excess_water_production. (accessed on 19. Aug.2019)
Prelicz, R. M., Fearfield, D., Sobera, M., Roeterink, R. W., & Van Der Harst, C. A. (2014, November 10). Identifying New Opportunities Through Reservoir Performance Reviews and Systematic Benchmarking of TQ Recovery. Society of Petroleum Engineers. doi:10.2118/172095-MS
Retnanto, A., Ryan, A., & Amyotte, D. (2015, October 11). Mature Thick Carbonate Reservoir Restimulation: Candidate Evaluation, Well Preparation, and Stimulation Strategy. Society of Petroleum Engineers. doi:10.2118/175171-MS
Saputelli, L. A., Black, A., Passalacqua, H., & Barry, K. (2013, October 8). Front-End-Loading (FEL) Process Supporting Optimum Field Development Decision Making. Society of Petroleum Engineers. doi:10.2118/167655-MS
Saputelli, L.A.; Escorcia, A. (2017, May 10) Facilitating Collaborative Governance of Upstream Data and Work processes through automation, leveraging Business Process Management (BPM). Presentation delivered at the SPE Intelligent Oil and Gas Symposium, May 9-10, 2017, held at Jumeirah at Etihad Towers, Abu Dhabi, United Arab Emirates.
Soto Maldonado, R. J., & Aoun, A. E. (2019, April 22). A Data-Driven Evaluation of Hydraulic Fracturing Performance in Hassi Messaoud Field, Algeria. Society of Petroleum Engineers. doi:10.2118/195294-MS
Zangl, G., Neuhofer, L., Zabel, D., Tippel, P., Pantazescu, C.-I., Krcmarik, V., Hachmöller, B. (2016, September 6). Smart and Automated Workover Candidate Selection. Society of Petroleum Engineers. doi:10.2118/181072-MS