Evaluation of Reservoir Quality and Forecasted Production Variability along a Multi-Fractured Horizontal Well. Part 2: Selected Stage Forecasting

Christopher R. Clarkson, Zhenzihao Zhang, Farshad Tabasinejad, Daniela Becerra and Amin Ghanizadeh
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Christopher R. Clarkson: Department of Geosciences, University of Calgary, Calgary, AB T2N 1N4, Canada
Zhenzihao Zhang: Department of Geosciences, University of Calgary, Calgary, AB T2N 1N4, Canada
Farshad Tabasinejad: Department of Geosciences, University of Calgary, Calgary, AB T2N 1N4, Canada
Daniela Becerra: Department of Geosciences, University of Calgary, Calgary, AB T2N 1N4, Canada
Amin Ghanizadeh: Department of Geosciences, University of Calgary, Calgary, AB T2N 1N4, Canada

Energies, 2021, vol. 14, issue 19, 1-24

Abstract: The current practice for multi-fractured horizontal well development in low-permeability reservoirs is to complete the full length of the well with evenly spaced fracture stages. Given methods to evaluate along-well variability in reservoir quality and to predict stage-by-stage performance, it may be possible to reduce the number of stages completed in a well without a significant sacrifice in well performance. Provision and demonstration of these methods is the goal of the current two-part study. In Part 1 of this study, reservoir and completion quality were evaluated along the length of a horizontal well in the Montney Formation in western Canada. In the current (Part 2) study, the along-well reservoir property estimates are first used to forecast per-stage production variability, and then used to evaluate production performance of the well when fewer stages are completed in higher quality reservoir. A rigorous and fast semi-analytical model was used for forecasting, with constraints on fracture geometry obtained from numerical model history matching of the studied Montney well flowback data. It is concluded that a significant reduction in the number of stages from 50 (what was implemented) to less than 40 could have yielded most of the oil production obtained over the forecast period.

Keywords: history matching; numerical simulation; dynamic drainage area model; selective stimulation; individual-stage forecasting (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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