Optimization of fracture spacing and well spacing in utica shale play using fast analytical flow-cell model (Fcm) calibrated with numerical reservoir simulator

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5 Scopus citations

Abstract

Recently, a flow-cell model (FCM) was specifically developed to quickly generate physics-based forecasts of production rates and estimated ultimate resources (EURs) for infill wells, as the basis for the estimation of proven undeveloped reserves. Such reserves estimations provide operators with key collateral for further field development with reserves-based loans. FCM has been verified in previous studies to accurately forecast production rates and EURs for both black oil and dry gas wells. This study aims to expand the application range of FCM to predict the production performance and EURs of wells planned in undeveloped acreage of the wet gas window. Forecasts of the well rates and EURs with FCM are compared with the performance predictions generated with an integrated reservoir simulator for multi-fractured wells, using detailed field data from the Utica Field Experiment. Results of FCM, with adjustment factors to account for wet gas compressibility effects, match closely with the numerical performance forecasts. The advantage of FCM is that it can run on a fast spreadsheet template. Once calibrated for wet gas wells by a numerical reservoir simulator accounting for compositional flow, FCM can forecast the performance of future wells when completion design parameters, such as fracture spacing and well spacing, are changed.

Original languageEnglish
Article number6736
JournalEnergies
Volume13
Issue number24
DOIs
StatePublished - 21 Dec 2020

Bibliographical note

Publisher Copyright:
© 2020 by the author. Licensee MDPI, Basel, Switzerland.

Keywords

  • Cluster spacing optimization
  • Estimated ultimate recovery
  • Flow-cell model
  • Fracture treatment design
  • Numerical reservoir simulator
  • Parent and child wells
  • Reserves estimation
  • Utica shale play
  • Well spacing

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Engineering (miscellaneous)
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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