Abstract: The disclosure presents a technique for determining how downhole material will be distributed among two or more active perforation clusters in a hydraulic fracturing well system. The determination can be conducted during the execution of a treatment stage allowing modifications prior to completion of the treatment stage. The technique utilizes a three-step process where a first step can determine a predictive model of the wellbore, such as subterranean formation properties, wellbore properties, and target goal of the treatment stage. A second step can calibrate for unknown parameters, such as downhole HF fluid pressure at the active perforation clusters and downhole HF fluid flow rate at the perforation clusters. A third step can predict how downhole material will be distributed to the active perforation clusters and fracture clusters. The prediction result can be utilized to modify a pumping plan of the treatment stage to better achieve the targeted goal.

Abstract: The disclosure presents a process for calibrating a diversion model for a treatment stage of a hydraulic fracturing well site. The process can pump a portion of the proppant into the wellbore, flush the wellbore with clean HF fluid, and then perform a diagnostic test to determine a near-wellbore (NWB) flow resistance parameter. Next, diverter material can be distributed into the wellbore and the amount of diverter material delivered to each active perforation cluster can be estimated. A second diagnostic test can be performed followed by computing diversion model parameters such as a near-wellbore zone length parameter for perforation clusters capable of receiving HF fluid. In another aspect, a system is disclosed that can direct operations of a well site pump and collect data from surface and downhole diagnostic sensors, and then use the collected data for the diversion model calibration process.

Abstract: The disclosure presents a technique for determining how downhole material will be distributed among two or more active perforation clusters in a hydraulic fracturing well system. The determination can be conducted during the execution of a treatment stage allowing modifications prior to completion of the treatment stage. The technique utilizes a three-step process where a first step can determine a predictive model of the wellbore, such as subterranean formation properties, wellbore properties, and target goal of the treatment stage. A second step can calibrate for unknown parameters, such as downhole HF fluid pressure at the active perforation clusters and downhole HF fluid flow rate at the perforation clusters. A third step can predict how downhole material will be distributed to the active perforation clusters and fracture clusters. The prediction result can be utilized to modify a pumping plan of the treatment stage to better achieve the targeted goal.

Abstract: The disclosure presents a process for calibrating a diversion model for a treatment stage of a hydraulic fracturing well site. The process can pump a portion of the proppant into the wellbore, flush the wellbore with clean HF fluid, and then perform a diagnostic test to determine a near-wellbore (NWB) flow resistance parameter. Next, diverter material can be distributed into the wellbore and the amount of diverter material delivered to each active perforation cluster can be estimated. A second diagnostic test can be performed followed by computing diversion model parameters such as a near-wellbore zone length parameter for perforation clusters capable of receiving HF fluid. In another aspect, a system is disclosed that can direct operations of a well site pump and collect data from surface and downhole diagnostic sensors, and then use the collected data for the diversion model calibration process.