Many operators of tight gas reservoir fields are interested in determining the infill well potential in these fields. Over drilling may prove to be uneconomical; whereas, under drilling would leave unexplored reserves under the ground. In predicting EUR (expected ultimate recovery) of a potential infill well, operators are interested in knowing what percentage of the production will be come from incremental reserves (newly accessed) and what percentage is from acceleration reserves (which can be produced from existing wells). So, higher the percentage of incremental reserves better is the potential of an infill well. In this paper, we present a novel method for determining the incremental versus acceleration potential for infill well in a tight gas reservoir. We evaluate the existing wells by plotting the data in a form so that the data can be linearly extrapolated. Then, we can predict the EUR for individual wells before and after new wells in the vicinity are drilled. By knowing how much gas is “diverted” from the older wells, we determine the acceleration component of an infill well. By repeating the process as the field is being developed, we can determine the fraction of acceleration and incremental components of the EUR at each stage of infill drilling. We will also know how the EUR is changing as the well spacing is slowly reduced. To ensure our results are reasonable, we also compare our EUR values with EUR’s reported by the operator as proved reserves. Armed with this information, we can extrapolate infill well potential for a smaller spacing, including the contribution due to acceleration versus incremental production. We applied this procedure for Wamsutter field in Wyoming. Using the procedure, we recommended infill well locations to the operator. Operator has drilled seven wells based on our recommendations. Using this new method, we can predict the EUR for infill well as well as acceleration and incremental contribution of the infill well. Thus, potential of infill wells at different locations can be evaluated and compared.
Skip Nav Destination
Article navigation
March 2013
Research-Article
Infill-Drilling Potential in Tight Gas Reservoirs
Mohan Kelkar
Mohan Kelkar
e-mail: mohan@utulsa.edu
McDougall School of Petroleum Engineering
,The University of Tulsa
,800 South Tucker Drive
,Tulsa, OK 74104
Search for other works by this author on:
Shu Luo
e-mail: shu-luo@utulsa.edu
Mohan Kelkar
e-mail: mohan@utulsa.edu
McDougall School of Petroleum Engineering
,The University of Tulsa
,800 South Tucker Drive
,Tulsa, OK 74104
Contributed by the Petroleum Division of ASME for publication in the Journal of Energy Resources Technology. Manuscript received April 23, 2012; final manuscript received July 26, 2012; published online November 6, 2012. Assoc. Editor: W. David Constant.
J. Energy Resour. Technol. Mar 2013, 135(1): 013401 (8 pages)
Published Online: November 6, 2012
Article history
Received:
April 23, 2012
Revision Received:
July 26, 2012
Citation
Luo, S., and Kelkar, M. (November 6, 2012). "Infill-Drilling Potential in Tight Gas Reservoirs." ASME. J. Energy Resour. Technol. March 2013; 135(1): 013401. https://doi.org/10.1115/1.4007662
Download citation file:
Get Email Alerts
Cited By
Related Articles
Feasibility Investigation and Modeling Analysis of CO 2 Sequestration in Arbuckle Formation Utilizing Salt Water Disposal Wells
J. Energy Resour. Technol (June,2009)
Mitigating Interwell Fracturing Interference: Numerical Investigation of Parent Well Depletion Affecting Infill Well Stimulation
J. Energy Resour. Technol (January,2024)
Predicting Productivity Index of Horizontal Wells
J. Energy Resour. Technol (June,2007)
Related Proceedings Papers
Related Chapters
A Review on Prediction over Pressured Zone in Hydrocarbon Well Using Seismic Travel Time through Artificial Intelligence Technique for Pre-Drilling Planing
International Conference on Software Technology and Engineering, 3rd (ICSTE 2011)
Introduction
Mechanics of Drillstrings and Marine Risers
Application of Seismic Sedimentology in Analysis on Channel Sedimentary Facies
International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012)