Reservoir characterization

Novel Forward Model Quantifies Uncertainty of Fracture Networks

This paper presents a work flow to match the history of reservoirs featuring complex fracture networks with a novel forward model.

jpt-2019-04-191395hero.jpg

A major portion of the uncertainty found in shale reservoirs is the result of the distribution and properties of the fracture network. However, explicit fracture models are rarely used in uncertainty quantification because of their high computational cost. This paper presents a work flow to match the history of reservoirs featuring complex fracture networks with a novel forward model. The efficiency of the model allows fractures to be characterized explicitly, and the corresponding uncertainty about the distribution and properties of fractures can be evaluated.

Introduction

For low-permeability unconventional shale reservoirs, the fracture network greatly determines the performance of the wells.

×
SPE_logo_CMYK_trans_sm.png
Restricted Content
We're sorry, but this content is reserved for SPE Members. If you are a member, please sign in at the top of the page for access. If you are not a member and you find JPT content valuable, we encourage you to become a part of the SPE member community.