US 11,754,747 B2
Systems and methods for hybrid model hydraulic fracture pressure forecasting
Leen Weijers, Denver, CO (US); Andrew Bonnell, Calgary (CA); Ely Lolon, Denver, CO (US); Zhijun Liu, Littleton, CO (US); Kam Agarwal, Denver, CO (US); Robert Henderson, Denver, CO (US); and Michael Mayerhofer, Denver, CO (US)
Filed by Liberty Oilfield Services LLC, Denver, CO (US)
Filed on Jul. 14, 2022, as Appl. No. 17/812,658.
Application 17/812,658 is a continuation of application No. PCT/US2022/072263, filed on May 11, 2022.
Claims priority of provisional application 63/187,212, filed on May 11, 2021.
Prior Publication US 2022/0373711 A1, Nov. 24, 2022
Int. Cl. G01V 99/00 (2009.01); E21B 47/06 (2012.01); E21B 43/26 (2006.01)
CPC G01V 99/005 (2013.01) [E21B 43/26 (2013.01); E21B 47/06 (2013.01); E21B 2200/20 (2020.05)] 26 Claims
OG exemplary drawing
1. A system for forecasting pressures in a hydraulic fracturing system for a well, the system comprising:
a processing module executing code and configured to:
receive specifications for performing a hydraulic fracturing operation on a well, the specifications forecasting an array of flow rate information for frac fluid over time;
submit the array of flow rate information to a model incorporating a statistically based multivariate relationship operating on the flowrate information to
forecast pressure results including at least one of a bottomhole pressure time-based array and a surface pressure time based array, each of the pressure results being separable into pressure loss subcomponents,
determine a system of multipliers for statistical normalization of the pressure loss subcomponents,
calculate normalized pressure loss subcomponents obtained by multiplying the pressure loss subcomponents by selected multipliers obtained from the system of multipliers, and
provide normalized pressure forecast data on a basis of the normalized pressure loss subcomponents;
monitor observed pressure from the well as the hydraulic fracturing operation is underway by comparing the normalized pressure forecast data over time to the observed pressure from the well; and
take responsive action when monitoring of the observed pressure indicates an impending screen-out.