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Original Article | Open Access

GAWPS: A MRST-based module for wellbore profiling and graphical analysis of flow units

TRIL Lab, Graduate Program in Mechanical Engineering, Federal University of Paraíba, João Pessoa, Brazil
Mathematics and Cybernetics, SINTEF Digital, Oslo, Norway
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Abstract

Several graphical methods have been developed to understand the stratigraphy observed in wells and assist experts in estimating rock quality, defining limits for barriers, baffles, and speed zones, and in particular, delineating hydraulic flow units. At present, there exists no computational tool that bundles the main graphical methods used for defining flow units. This paper introduces an add-on module to the MATLAB Reservoir Simulation Toolbox that contains computational routines to carry out such graphical analyses, both qualitatively and quantitatively. We also describe a new secondary method defined as the derivative of the stratigraphic modified Lorenz plot, which we use to classify depth ranges within the reservoir into barriers, strong baffles, weak baffles, and normal units, based on flow unit speed over those depths. We demonstrate the capabilities of the "Graphical Analysis for Well Placement Strategy" module by applying it to several case studies of both real and synthetic reservoirs.

Keywords

data analysishydraulic flow unitReservoir modelinggraphical methods

References

 
Abbaszadeh, M., Fujii, H., Fujimoto, F., et al. Permeability prediction by hydraulic flow units-theory and applications. SPE Formation Evaluation, 1996, 11(4):263-271.
Crossref Google Scholar
 
Amaefule, J. O., Altunbay, M., Tiab, D., et al. Enhanced reservoir description: Using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells. Paper SPE 26436 Presented at the SPE Annual Technical Conference and Exhibition, Houston, Texas, 3-6 October, 1993.
 
Avansi, G. D., Schiozer, D. J. UNISIM-I: Synthetic model for reservoir development and management applications. International Journal of Modeling and Simulation for the Petroleum Industry, 2015, 9(1):21-30.
Google Scholar
 
Benham, P., Freeman, M., Zhang, I., et al. The function of baffles within heavy oil reservoir and their impact on field development: A case study from kuwait. Paper SPE 193775 Presented at the SPE International Heavy Oil Conference and Exhibition, Kuwait City, Kuwait, 10-12 December, 2018.
 
Cannon, S. Petrophysics: A Practical Guide. New York, USA, John Wiley & Sons, 2015.
Crossref
 
Christie, M. A., Blunt, M. J. Tenth SPE comparative solution project: A comparison of upscaling techniques. Paper SPE 66599 Presented at the SPE Reservoir Simulation Symposium, Houston, Texas, 11-14 February, 2001.
 
Correia, M., Hohendorff, J., Gaspar, A. T., et al. UNISIM-II-D: Benchmark case proposal based on a carbonate reservoir. Paper SPE 177140 Presented at the SPE Latin American and Caribbean Petroleum Engineering Conference, Quito, Ecuador, 18-20 November, 2015.
 
Craig, F. F. The Reservoir Engineering Aspects of Waterflooding, Volume 3. New York, USA, Society of Petroleum Engineers of AIME, 1971.
 
Cunningham, K. J., Sukop, M. C., Huang, H., et al. Prominence of ichnologically influenced macroporosity in the karst biscayne aquifer: Stratiform “super-k” zones. Geological Society of America Bulletin, 2009, 121(1-2):164-180.
Google Scholar
 
Dake, L. P. The Practice of Reservoir Engineering (Revised Edition). Amsterdam, Netherlands, Elsevier, 2001.
 
Ebanks, W. J. Jr., Scheihing, M. H., Atkinson, C. D. Flow units for reservoir characterization: Part 6. Geological methods, in ME 10: Development Geology Reference Manual, edited by D. Morton-Thompson and A. M. Woods, American Association of Petroleum Geologists, Tulsa, pp. 282-285, 1992.
 
Fanchi, J. Integrated Reservoir Asset Management: Principles and Best Practices. Houston, USA, Gulf Professional Publishing, 2010.
Crossref
 
Gunter, G., Sahar, M. Y., Viro, E., et al. Introducing a ten-step integrated petrophysical rock type verification process that combines deterministic methods, saturation height modeling, advanced flow units and IPSOM. Paper SPE 193147 Presented at the Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE, 12-15 November, 2018.
Crossref
 
Gunter, G. W., Allen, D. F., Marché, O. A., et al. Challenges of determining and comparing reservoir storage and flow properties using deterministic petrophysical rock types via multiple pore throat radius indicators. Paper SPWLA 2017-OO Presented at the SPWLA 58th Annual Logging Symposium, Oklahoma City, Oklahoma, USA, 17-21 June, 2017.
 
Gunter, G. W., Finneran, J. M., Hartmann, D. J., et al. Early determination of reservoir flow units using an integrated petrophysical method. Paper SPE 38679 Presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 5-8 October, 1997a.
 
Gunter, G. W., Pinch, J. J., Finneran, J. M., et al. Overview of an integrated process model to develop petrophysical based reservoir descriptions. Paper SPE 38748 Presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 5-8 October, 1997b.
 
Gunter, G. W., Viro, E. J., Wolgemuth, K. Identifying value added opportunities by integrating well log interpretation, petrophysical rock types and flow units; introducing a new multi-component stratigraphic modified lorenz method. Paper SPWLA 2012-170 Presented at the SPWLA 53rd Annual Logging Symposium, Cartagena, Colombia, 16-20 June, 2012.
 
Hatampour, A., Schaffie, M., Jafari, S. Hydraulic flow units, depositional facies and pore type of Kangan and Dalan Formations, South Pars Gas Field, Iran. Journal of Natural Gas Science and Engineering, 2015, 23:171-183.
Crossref Google Scholar
 
Hearn, C. L., Ebanks, W. J. Jr., Tye, R. S., et al. Geological factors influencing reservoir performance of the Hartzog Draw field, Wyoming. Journal of Petroleum Technology, 1984, 36(8):1335-1344.
Crossref Google Scholar
 
Jansen, J.-D., Fonseca, R.-M., Kahrobaei, S., et al. The egg model-a geological ensemble for reservoir simulation. Geoscience Data Journal, 2014, 1(2):192-195.
Crossref Google Scholar
 
Kolodzie, S. Jr. Analysis of pore throat size and use of the waxman-smits equation to determine ooip in Spindle field, Colorado. Paper SPE 9382 Presented at the SPE Annual Technical Conference and Exhibition, Dallas, Texas, 21-24 September, 1980.
 
Lie, K.-A. An Introduction to Reservoir Simulation Using MATLAB/GNU Octave: User Guide for the MATLAB Reservoir Simulation Toolbox (MRST). Cambridge, UK, Cambridge University Press, 2019.
Crossref
 
Mahjour, S. K., Al-Askari, M. K. G., Masihi, M. Identification of flow units using methods of testerman statistical zonation, flow zone index, and cluster analysis in Tabnaak gas field. Journal of Petroleum Exploration and Production Technology, 2016, 6(4):577-592.
Crossref Google Scholar
 
Newsham, K. E., Rushing, J. A. An integrated work-flow model to characterize unconventional gas resources: Part I-geological assessment and petrophysical evaluation. Paper SPE 71351 Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 30 September-3 October, 2001.
 
Oliveira, G. P., Roque, W. L., Araújo, E. A., et al. Competitive placement of oil perforation zones in hydraulic flow units from centrality measures. Journal of Petroleum Science and Engineering, 2016, 147:282-291.
Crossref Google Scholar
 
Oliveira, G. P., Santos, M. D., Roque, W. L. Constrained clustering approaches to identify hydraulic flow units in petroleum reservoirs. Journal of Petroleum Science and Engineering, 2020, 186:106732.
Crossref Google Scholar
 
Pittman, E. D. Relationship of porosity and permeability to various parameters derived from mercury injection-capillary pressure curves for sandstone. AAPG Bulletin, 1992, 76(2):191-198.
Crossref Google Scholar
 
Rahimpour-Bonab, H., Enayati-Bidgoli, A., Navidtalab, A., et al. Appraisal of intra reservoir barriers in the Permo-Triassic successions of the Central Persian Gulf, Offshore Iran. Geologica Acta, 2014, 12(1):87-107.
Google Scholar
 
Rushing, J. A., Newsham, K. E. An integrated work-flow model to characterize unconventional gas resources: Part II-formation evaluation and reservoir modeling. Paper SPE 71352 Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 30 September-3 October, 2001.
 
Siddiqui, S., Okasha, T. M., Funk, J. J., et al. New representative sample selection criteria for special core analysis. Paper Presentation at the International Symposium of the Society of Core Analysts held in Pau, France, 21-24 September, 2003.
 
Svirsky, D., Ryazanov, A., Pankov, M., et al. Hydraulic flow units resolve reservoir description challenges in a Siberian oil field. Paper SPE 87056 Presented at the SPE Asia Pacific Conference on Integrated Modelling for Asset Management, Kuala Lumpur, Malaysia, 29-30 March, 2004.
 
Zhou, W., Liang, S., Ma, D., et al. Statistical verification of hydraulic units in a heterogeneous reservoir of the Liaohe Oilfield. Journal of Earth Science, 2014, 25(6):991-1002.
Crossref Google Scholar
Advances in Geo-Energy Research
Volume 6 Issue 1,
February 2022
Pages 38-53
DOI: 10.46690/ager.2022.01.04
Cite this article:
Oliveira GP, Rodrigues TNE, Lie K-A. GAWPS: A MRST-based module for wellbore profiling and graphical analysis of flow units. Advances in Geo-Energy Research, 2022, 6(1): 38-53. https://doi.org/10.46690/ager.2022.01.04

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Received: 19 November 2021
Revised: 14 December 2021
Accepted: 15 December 2021
Published: 20 December 2021
© The Author(s) 2021

Open Access This article is distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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