Optimization of multiple hydraulically fractured factors to maximize the stimulated reservoir volume in silty laminated shale formation, Southeastern Ordos Basin, China

Optimization of multiple hydraulically fractured factors to maximize the stimulated reservoir... An important inspect that maximizes the stimulated reservoir volume during the hydraulic fracturing design is the multi-factor analysis and optimization. Characterizations of geological setting, geomechanical rock properties and operational factors can provide insight into the fracturing response of formations, which can, in turn be used to optimize the field fracturing treatment. In this work, the response surface methodology was employed to maximize the stimulated area in combination with numerically modeling based on a coupled flow-stress-damage approach, for the typical continental silty laminae shale in China. Seven uncertain parameters with a reasonable range based on silty Laminae Shale, Southeastern Ordos Basin, are used to fit a response of stimulated reservoir area (SRA) as the objective function, and finally identity the optimum design under the parameters base on SRA maximization The motivation of the study is to improve the artificial ability to control the fracturing network propagation by the multi-factor optimization. This work will guide the exploration and development of shale gas and is helpful in optimizing the fracturing design for continental shale, Southeastern Ordos Basin, China. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Petroleum Science and Engineering Elsevier

Optimization of multiple hydraulically fractured factors to maximize the stimulated reservoir volume in silty laminated shale formation, Southeastern Ordos Basin, China

Loading next page...
 
/lp/elsevier/optimization-of-multiple-hydraulically-fractured-factors-to-maximize-dlp10QU1Bp
Publisher
Elsevier
Copyright
Copyright © 2016 Elsevier B.V.
ISSN
0920-4105
eISSN
1873-4715
D.O.I.
10.1016/j.petrol.2016.05.033
Publisher site
See Article on Publisher Site

Abstract

An important inspect that maximizes the stimulated reservoir volume during the hydraulic fracturing design is the multi-factor analysis and optimization. Characterizations of geological setting, geomechanical rock properties and operational factors can provide insight into the fracturing response of formations, which can, in turn be used to optimize the field fracturing treatment. In this work, the response surface methodology was employed to maximize the stimulated area in combination with numerically modeling based on a coupled flow-stress-damage approach, for the typical continental silty laminae shale in China. Seven uncertain parameters with a reasonable range based on silty Laminae Shale, Southeastern Ordos Basin, are used to fit a response of stimulated reservoir area (SRA) as the objective function, and finally identity the optimum design under the parameters base on SRA maximization The motivation of the study is to improve the artificial ability to control the fracturing network propagation by the multi-factor optimization. This work will guide the exploration and development of shale gas and is helpful in optimizing the fracturing design for continental shale, Southeastern Ordos Basin, China.

Journal

Journal of Petroleum Science and EngineeringElsevier

Published: Sep 1, 2016

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off