Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Supporting Data: Parameters Affecting the Distribution of Pulsed Proppant in Hydraulic Fractures

Bunger, Andrew and Wang, Di and Mian, Chen and Jianzheng, Su and Fengxia, Li (2019) Supporting Data: Parameters Affecting the Distribution of Pulsed Proppant in Hydraulic Fractures. [Dataset] (Submitted)

[img] Archive (ZIP)
Available under License Creative Commons Attribution No Derivatives.

Download (92MB)

Abstract

Di Wang, Fengxia Li and Jianzheng Su, SINOPEC Petroleum Exploration and Production Research Institute, Beijing
Mian Chen, Institute of Unconventional Oil and Gas, Northeast Petroleum University and State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing
Andrew. P. Bunger, Department of Civil and Environmental Engineering and Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA, USA

Intermittent proppant injection into hydraulic fractures is a newly-developing technology in well stimulation. It is designed to form voids inside proppant packs which serve as highly conductive channels for oil and gas transport. This paper models proppant transport in a PKN fracture in which the proppant-laden and proppant-free fluids are pumped intermittently. Simulations are performed to investigate proppant transport and final distribution under the influence of rock Young’s modulus, fluid injection rate, leakoff coefficient, fluid visocisity, and periodicity of proppant pulses. The simulations show that proppant concentration inside a hydraulic fracture from wellbore bottom hole to fracture tip is non-uniform and appears like a damped wave. An equation which is similar to damped wave solution is used to describe this proppant concentration characteristic, thus enabling a dimensional analysis to identify the key parameters affecting proppant distribution and specifically the attenuation of the concentration waves. Two characteristic lengths, including and excluding leakoff coefficient, are presented to rapidly characterize the distance over which the concentration waves attenuate.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Dataset
Status: Submitted
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Bunger, Andrewbunger@pitt.edubunger0000-0002-0696-7066
Wang, Diwangdi304@126.com
Mian, Chenchenmiancup@163.com
Jianzheng, Susujz.syky@sinopec.com
Fengxia, Lilifx.syky@sinopec.com
Centers: Other Centers, Institutes, Offices, or Units > Center for Energy
Date: 1 August 2019
Schools and Programs: Swanson School of Engineering > Civil and Environmental Engineering
Type of Data: Mixed
Copyright Holders: Andrew Bunger, Di Wang
Date Deposited: 02 Aug 2019 11:43
Last Modified: 02 Aug 2019 11:43
URI: http://d-scholarship.pitt.edu/id/eprint/37266

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item