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• W2017234258 abstract "Summary With the extensive use of hydraulic fracturing in tight and unconventional r eservoirs, there has been a growing need to better geologically characterize the reservoir to maximize hydrocarbon r ecovery while also reducing the overall cost. Currently, there is a lack of low cost and risk data on lateral wells to improve completion designs and obtain more consistent production from all stages. Most wells are completed based on geometric stage spacing, which does not always provide consistent production from all stages. These sub- economical stages, which contribute little to nothing to final production, reduce the overall profitability of the well. Traditionally, lateral well completion planning utilizes mainly pilot hole wireline lo gs, to mitigate the cost and risk of running tools down lateral wells. The resulting interpretation from the pilot hole is then propagated along the intended length of the lateral based on a homogeneous “layer cake” geological model. However, it is a well-known and often overlooked fact that this model does not account for lateral facies or mineralogical changes, that can affect stimulation design and production. A better method for understanding these lateral changes and planning the completion is required, with the optimal case being nominal- to improved-production using strategic staging and cluster selection in an optimized horizontal. The result being reduced cost w ithout reduced production, thereby achieving higher well profitability. In this paper we review the development of an integrated subsurface com pletion program combining pilot hole wireline and sidewall rotary core data, with cuttings-based mineralogical data and mudlogs from the lateral. This technique improves lateral well characterization without the risk of wireline runs, by mineralogical analysis of cuttings in real time, calibrated against the pilot hole. The overall objectiv e is to use the enhanced lateral mineralogical data for better completion design and predictive modelling of prod uction." @default.
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• W2017234258 date "2014-01-01" @default.
• W2017234258 modified "2023-09-25" @default.
• W2017234258 title "Cross Correlation of Wire Line Data and SEM Based Mineralogical and Textural Vertical Well Data: A New Tool for Intelligent Completion Designs and Better Production Predictions." @default.
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• W2017234258 doi "https://doi.org/10.15530/urtec-2014-1922604" @default.
• W2017234258 hasPublicationYear "2014" @default.
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