The Static Laboratory Testing for Fracturing Fluid Optimization

Authors

  • Boni Swadesi Petroleum Engineering Department, UPN “Veteran” Yogyakarta, Indonesia
  • Ahmad Sobri Petroleum Engineering Department, UPN “Veteran” Yogyakarta, Indonesia
  • Dewi Asmorowati Petroleum Engineering Department, UPN “Veteran” Yogyakarta, Indonesia
  • Mia Feria Helmy Petroleum Engineering Department, UPN “Veteran” Yogyakarta, Indonesia
  • Ahmad Azhar Petroleum Engineering Department, UPN “Veteran” Yogyakarta, Indonesia
  • Roiduz Zumar Petroleum Engineering Department, UPN “Veteran” Yogyakarta, Indonesia
  • Susanti Rina Nugraheni Chemical Engineering Department, UPN “Veteran” Yogyakarta, Indonesia

DOI:

https://doi.org/10.31098/cset.v1i1.403

Abstract

Hydraulic fracturing operation is the common method to stimulate an oil well in order to make the permeability around the well become higher by injecting a mixing of fracturing fluid and proppant. Hopefully, this higher permeability can contribute to increase the production of oil and/or gas. The fundamental laboratory assessment of fracturing fluid as a part of injected component is important to be conducted before field scale implementation. One of the fundamental assessment is the static laboratory testing. In this test, the fracturing fluid sample is measured to obtain the data about its properties such as water quality, rheology, crown time and breaking time. These properties give important role to calculate the performance of the hydraulic fracturing field scale operation would be. In this research, we conducted the static laboratory testing for fracturing fluid in sensitivity of concentration which are 35, 40 and 45 systems. Every concentration have been measured its properties in order to compare each other to evaluate and select best fracturing fluid candidate for field scale application.

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Published

2022-11-15

How to Cite

Swadesi, B., Sobri, A., Asmorowati, D., Helmy, M. F., Azhar, A. ., Zumar, R., & Nugraheni, S. R. (2022). The Static Laboratory Testing for Fracturing Fluid Optimization. RSF Conference Series: Engineering and Technology, 1(1), 219–224. https://doi.org/10.31098/cset.v1i1.403