--> ABSTRACT: An Optimized Completion Process Case History - Improving Zone Selection and Stimulation Design Using Stoneley Wave Permeability Data and Forward Fracture Modeling, by Jim Hankla, Jon Martin, Bob Weaver, and Xiao Ming Tang; #90906(2001)
[First Hit]

Datapages, Inc.Print this page

Jim Hankla1, Jon Martin2, Bob Weaver3, Xiao Ming Tang4

(1) Baker Atlas, Tyler, TX
(2) Belco Energy Corp, Dallas, TX
(3) BJ Services Company, USA, Dallas, TX
(4) Baker Atlas, Houston, TX

ABSTRACT: An Optimized Previous HitCompletionNext Hit Process Case History - improving zone selection and stimulation design using Stoneley Wave Permeability data and forward fracture modeling

Completions requiring stimulation can be optimized by pre-fracture modeling when analysis results and data from advanced wireline logs are employed. This case history demonstrates the value of incorporating Nuclear Magnetic Resonance data, Stoneley Wave Permeability and anisotropy analysis, acquired from monopole and cross-dipole acoustic service, into a pre-fracture modeling process with the potential to improve Previous HitwellNext Hit performance and production longevity.

Belco Oil and Gas identified the potential to extend a Jurassic Sandstone trend in South Arkansas. Their objective was to evaluate the prospect including Previous HitcompletionNext Hit and testing of the appraisal Previous HitwellNext Hit, with further development, dependent on the success of this Previous HitwellNext Hit. The appraisal Previous HitwellNext Hit initially tested at approximately 200 barrels of oil and about 750,000 cubic feet of gas per day, after cleanup and stimulation. After a short time period the Previous HitwellNext Hit sanded up and the Previous HitwellNext Hit was unable to sustain a commercial rate. Post fracture modeling was then carried out. Due to the original time constraints, the initial stimulation was performed without use of Stoneley Wave Permeability Analysis or integrated forward modeling. The Stoneley Wave Permeability Analysis and post fracture modeling determined that natural fractures were present across the hydraulically fractured interval. The cross dipole also provided verification of fractures and additional information as to their direction. We conclude that having knowledge of these natural fractures that can develop into enlarged micro-fractures during a hydraulic fracture treatment can result in improved stimulation design techniques and an optimised Previous HitcompletionTop process

AAPG Search and Discovery Article #90906©2001 AAPG Annual Convention, Denver, Colorado