[CCoE Notice] Thesis Defense Announcement: Estimating Stimulated Reservoir Volume of Refractured Wells in Unconventional Reservoirs using Production Data Analysis

[Grayson, Audrey A]

MS Thesis Defense
Petroleum Engineering Department

Estimating Stimulated Reservoir Volume of Refractured Wells in Unconventional Reservoirs using Production Data Analysis

Nitish Goyal

Date: Friday, November 30, 2018

Location: ConocoPhillips Petroleum Engineering Building 9, Rm 125
Energy Research Park

Time: 9:00 am

Committee Chair:
Dr. Michael Nikolaou

Committee Members:
Dr. Christine Ehlig-Economides
Dr. Matteo Marongiu-Porcu


Production from unconventional plays has come up as the major source of hydrocarbon production in North America in the past decade. The most efficient method of producing from very-low permeability reservoirs is through horizontal wells with multiple hydraulic fractures. To extract most amount of hydrocarbons from an acreage, it has become common practice to space multiple horizontal wells very close to each other. This often results in frac-hits- a phenomena where production from an existing well is considerably decreased. To extract the most hydrocarbons, it is common practice to refracture already stimulated wells. If successful, this can result in increased production.
The focus of this work was to predict altered performance of a horizontal well affected by refracturing. To achieve this, following activities were successfully completed:

  *   Develop scenarios with simulation and analytical equations that model refractures
  *   Develop a simple algorithm based on RNP analysis to quantitatively predict altered drainage volume.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://Bug.EGR.UH.EDU/pipermail/engi-dist/attachments/20181128/8532131f/attachment-0001.html 
-------------- next part --------------
A non-text attachment was scrubbed...
Name: Abstract - Nitish Goyal.docx
Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Size: 14501 bytes
Desc: Abstract - Nitish Goyal.docx
Url : http://Bug.EGR.UH.EDU/pipermail/engi-dist/attachments/20181128/8532131f/attachment-0001.bin