Multi-disciplinary data integration for inverse hydraulic fracturing analysis

A case study

Ping Puyang, Arash Dahi Taleghani, Bhaba R. Sarker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Hydraulic fracturing served as the principal technique to improve production in low permeability unconventional reservoirs in the last decade. Through core and outcrop studies, advanced logging tools, microseismic mapping and well testing analyses, it has further revealed the complexity of induced fracture network in the presence of natural fractures. Although most natural fractures are cemented by precipitations due to diagenesis, they can be reactivated during fracturing treatments and serve as preferential paths for fracture growth. However, current technologies for post-treatment assessment are incapable of accurately determine fracture geometry or even estimating the distribution of pre-existing natural fractures. Despite significant advances in numerical modelling of the problem, these models require an accurate description of natural fractures, which is often unknown to operators. Moreover, these numerical modeling techniques usually do not incorporate post-treatment data to reflect actual reservoir characteristics. This research proposes an innovative data integration workflow to estimate the characteristics of natural fractures based on formation evaluations, microseismic data, treatment data and production history. Least- square modeling approach is utilized to define possible realizations of natural fractures from selected double-couple microseismic events. Forward modeling incorporating Discrete Fracture Network will subsequently be used for matching treatment data and screening generated fracture realizations. Reservoir simulation tools will also be used thereafter to match the production data to further evaluate the fitness of natural fracture realizations. This workflow is able to integrate data from multiple aspects of the reservoir development process, and results from this workflow will provide both geologist and reservoir engineers an assessment tool for evaluating and modeling naturally fractured reservoirs.

Original languageEnglish (US)
Title of host publicationSociety of Petroleum Engineers - Unconventional Resources Technology Conference, URTeC 2015
PublisherSociety of Petroleum Engineers
ISBN (Electronic)9781613994337
StatePublished - Jan 1 2015
EventUnconventional Resources Technology Conference, URTeC 2015 - San Antonio, United States
Duration: Jul 20 2015Jul 22 2015

Publication series

NameSociety of Petroleum Engineers - Unconventional Resources Technology Conference, URTeC 2015

Other

OtherUnconventional Resources Technology Conference, URTeC 2015
CountryUnited States
CitySan Antonio
Period7/20/157/22/15

Fingerprint

Hydraulic fracturing
Workflow
Data integration
Least-Squares Analysis
Permeability
History
Technology
Growth
Research
Hydraulic Fracking
Well testing
Well logging
Screening

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health
  • Chemical Health and Safety
  • Safety, Risk, Reliability and Quality

Cite this

Puyang, P., Dahi Taleghani, A., & Sarker, B. R. (2015). Multi-disciplinary data integration for inverse hydraulic fracturing analysis: A case study. In Society of Petroleum Engineers - Unconventional Resources Technology Conference, URTeC 2015 (Society of Petroleum Engineers - Unconventional Resources Technology Conference, URTeC 2015). Society of Petroleum Engineers.
Puyang, Ping ; Dahi Taleghani, Arash ; Sarker, Bhaba R. / Multi-disciplinary data integration for inverse hydraulic fracturing analysis : A case study. Society of Petroleum Engineers - Unconventional Resources Technology Conference, URTeC 2015. Society of Petroleum Engineers, 2015. (Society of Petroleum Engineers - Unconventional Resources Technology Conference, URTeC 2015).
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abstract = "Hydraulic fracturing served as the principal technique to improve production in low permeability unconventional reservoirs in the last decade. Through core and outcrop studies, advanced logging tools, microseismic mapping and well testing analyses, it has further revealed the complexity of induced fracture network in the presence of natural fractures. Although most natural fractures are cemented by precipitations due to diagenesis, they can be reactivated during fracturing treatments and serve as preferential paths for fracture growth. However, current technologies for post-treatment assessment are incapable of accurately determine fracture geometry or even estimating the distribution of pre-existing natural fractures. Despite significant advances in numerical modelling of the problem, these models require an accurate description of natural fractures, which is often unknown to operators. Moreover, these numerical modeling techniques usually do not incorporate post-treatment data to reflect actual reservoir characteristics. This research proposes an innovative data integration workflow to estimate the characteristics of natural fractures based on formation evaluations, microseismic data, treatment data and production history. Least- square modeling approach is utilized to define possible realizations of natural fractures from selected double-couple microseismic events. Forward modeling incorporating Discrete Fracture Network will subsequently be used for matching treatment data and screening generated fracture realizations. Reservoir simulation tools will also be used thereafter to match the production data to further evaluate the fitness of natural fracture realizations. This workflow is able to integrate data from multiple aspects of the reservoir development process, and results from this workflow will provide both geologist and reservoir engineers an assessment tool for evaluating and modeling naturally fractured reservoirs.",
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Puyang, P, Dahi Taleghani, A & Sarker, BR 2015, Multi-disciplinary data integration for inverse hydraulic fracturing analysis: A case study. in Society of Petroleum Engineers - Unconventional Resources Technology Conference, URTeC 2015. Society of Petroleum Engineers - Unconventional Resources Technology Conference, URTeC 2015, Society of Petroleum Engineers, Unconventional Resources Technology Conference, URTeC 2015, San Antonio, United States, 7/20/15.

Multi-disciplinary data integration for inverse hydraulic fracturing analysis : A case study. / Puyang, Ping; Dahi Taleghani, Arash; Sarker, Bhaba R.

Society of Petroleum Engineers - Unconventional Resources Technology Conference, URTeC 2015. Society of Petroleum Engineers, 2015. (Society of Petroleum Engineers - Unconventional Resources Technology Conference, URTeC 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Hydraulic fracturing served as the principal technique to improve production in low permeability unconventional reservoirs in the last decade. Through core and outcrop studies, advanced logging tools, microseismic mapping and well testing analyses, it has further revealed the complexity of induced fracture network in the presence of natural fractures. Although most natural fractures are cemented by precipitations due to diagenesis, they can be reactivated during fracturing treatments and serve as preferential paths for fracture growth. However, current technologies for post-treatment assessment are incapable of accurately determine fracture geometry or even estimating the distribution of pre-existing natural fractures. Despite significant advances in numerical modelling of the problem, these models require an accurate description of natural fractures, which is often unknown to operators. Moreover, these numerical modeling techniques usually do not incorporate post-treatment data to reflect actual reservoir characteristics. This research proposes an innovative data integration workflow to estimate the characteristics of natural fractures based on formation evaluations, microseismic data, treatment data and production history. Least- square modeling approach is utilized to define possible realizations of natural fractures from selected double-couple microseismic events. Forward modeling incorporating Discrete Fracture Network will subsequently be used for matching treatment data and screening generated fracture realizations. Reservoir simulation tools will also be used thereafter to match the production data to further evaluate the fitness of natural fracture realizations. This workflow is able to integrate data from multiple aspects of the reservoir development process, and results from this workflow will provide both geologist and reservoir engineers an assessment tool for evaluating and modeling naturally fractured reservoirs.

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M3 - Conference contribution

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Puyang P, Dahi Taleghani A, Sarker BR. Multi-disciplinary data integration for inverse hydraulic fracturing analysis: A case study. In Society of Petroleum Engineers - Unconventional Resources Technology Conference, URTeC 2015. Society of Petroleum Engineers. 2015. (Society of Petroleum Engineers - Unconventional Resources Technology Conference, URTeC 2015).