Abstract: The method includes receiving raw data at a cloud service relating to a hydraulic fracturing operation. The raw data can be streamed to the cloud service. The method further includes pre-processing the raw data to generate pre-processed data. The pre-processed data can be ingestible by a cloud-based dashboard. Additionally, the method includes identifying at least one parameter relating to the hydraulic fracturing operation using the pre-processed data. The method can further include determining a difference between the at least one parameter and at least one optimized parameter. Further, the method can include adjusting the hydraulic fracturing operation based the difference between the at least one parameter and the at least one optimized parameter.

Abstract: Disclosed herein is an automated process of identifying shut-in parameters of a hydraulic fracturing operation from hydraulic fracturing treatment (HF) data. Also disclosed is a system and computer program product for automatically determining shut-in parameters from HF data. The HF data can be collected in real time during a HF from various sensors, equipment, or systems typically used in HFs or present at a well site. In one example, a method for automatically determining hydraulic fracturing parameters includes: (1) obtaining HF data, (2) determining a Rate Shut-In (RSI) time from the HF data, (3) determining a Well Shut-In (WSI) time using the RSI, and (4) calculating an Instantaneous Shut-In Pressure (ISIP) value based upon both the RSI and the WSI times, wherein determining the RSI time, the WSI time and calculating the ISIP value are automatically performed by one or more processors.

Abstract: Aspects of the subject technology relate to systems and methods for optimizing multi-unit pumping operations at a well site. Systems and methods are provided for receiving sensor data from a hydraulic fracturing fleet equipment at an equipment system, designating an event as being flagged based on the sensor data from the hydraulic fracturing fleet equipment, determining a physical action based on the flagged event and a priority list of actions, and providing instructions to a first pump of the hydraulic fracturing fleet equipment to perform the physical action based on the flagged event and the priority list of actions.

Abstract: A workflow for fracturing a subterranean formation includes providing fracturing databases or models for the hydrocarbon wellbore, selecting one or more fracturing fluid systems for fracturing the subterranean formation based on the fracturing databases or models and recommending at least one of the one or more selected fracturing fluid systems for fracturing the subterranean formation. Additionally, a workflow controller for fracturing a subterranean formation includes a workflow processing unit having fracturing models or databases to determine functional aspects of one or more fracturing fluid systems to provide a fracturing fluid system recommendation for the subterranean formation, and a fracturing fluid delivery unit that applies the fracturing fluid system recommendation to the subterranean formation. A hydrocarbon wellbore fracturing system for a subterranean formation is also provided.

Abstract: A system is provided including at least one pump for pumping a fluid into a wellbore, a pressure sensor provided at a wellhead of the wellbore for measuring a backpressure of the fluid being pumped into the wellbore, and a diagnostic manager. The diagnostic manager obtains pressure data associated with a pressure signal from the pressure sensor, wherein the pressure data includes pressure measurements of the fluid over a selected time period. The diagnostic manager converts, based on the pressure data, at least a portion of the pressure signal into frequency domain. The diagnostic manager detects a change in frequency of the pressure signal in the Fourier spectrum and determines that a fault associated with the wellbore has occurred based on the changed frequency of the pressure signal.

Abstract: A machine learning model trained to predict offset pressure (“predictor”) is used to generate a pumping schedule that mitigates well interference during a hydraulic fracturing treatment operation. Diverse candidate pumping schedules are generated according to pumping schedule constraints. Feature inputs are populated with the candidate pumping schedules and with static and dynamic features related to the operation. The feature inputs are fed into one or more instances of the predictor to obtain offset pressure predictions at a prediction horizon for which the predictor was configured. The offset pressure predictions are evaluated to identify the one that best satisfies a well interference mitigation objective and the corresponding candidate pumping schedule is identified for well interference mitigation.

Abstract: A system is provided including at least one pump for pumping a fluid into a wellbore, a pressure sensor provided at a wellhead of the wellbore for measuring a backpressure of the fluid being pumped into the wellbore, and a diagnostic manager. The diagnostic manager obtains pressure data associated with a pressure signal from the pressure sensor, wherein the pressure data includes pressure measurements of the fluid over a selected time period. The diagnostic manager converts, based on the pressure data, at least a portion of the pressure signal into frequency domain. The diagnostic manager detects a change in frequency of the pressure signal in the Fourier spectrum and determines that a fault associated with the wellbore has occurred based on the changed frequency of the pressure signal.

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: Aspects of the subject technology relate to systems and methods for optimizing multi-unit pumping operations at a well site. Systems and methods are provided for receiving sensor data from a hydraulic fracturing fleet equipment at an equipment system, designating an event as being flagged based on the sensor data from the hydraulic fracturing fleet equipment, determining a physical action based on the flagged event and a priority list of actions, and providing instructions to a first pump of the hydraulic fracturing fleet equipment to perform the physical action based on the flagged event and the priority list of actions.

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: A wellbore fracturing system that includes wellbore fracturing resources coupled through a wellbore conveyance to a subterranean formation of the wellbore; The wellbore fracturing system further includes a bottom hole pressure gauge that provides a bottom hole gauge pressure, and a processor coupled to the wellbore fracturing resources and the wellbore conveyance that calculates a wellbore friction pressure using a time-series sampling of bottom-hole gauge pressures for a fracturing fluid system after a uniform fracturing fluid condition is achieved in the wellbore. Also included are methods of calculating and managing a wellbore friction pressure.

Abstract: Described are systems and methods for determining a distance between a hydraulic fracture of a child well to a parent wellbore of a parent well. A distributed accoustic sensor fiber optic cable measures strain measurements along a length of the parent wellbore. A computing device then calculates the distance between the hydraulic fracture and the parent wellbore by inputting the strain measurements into a fracture strain model to solve for a location of the hydraulic fracture. A sub-surface process may be adjusted based on the calculated distance between the hydraulic fracture and the parent wellbore to avoid or utilize a frac hit.

Abstract: A workflow for fracturing a subterranean formation includes providing fracturing databases or models for the hydrocarbon wellbore, selecting one or more fracturing fluid systems for fracturing the subterranean formation based on the fracturing databases or models and recommending at least one of the one or more selected fracturing fluid systems for fracturing the subterranean formation. Additionally, a workflow controller for fracturing a subterranean formation includes a workflow processing unit having fracturing models or databases to determine functional aspects of one or more fracturing fluid systems to provide a fracturing fluid system recommendation for the subterranean formation, and a fracturing fluid delivery unit that applies the fracturing fluid system recommendation to the subterranean formation. A hydrocarbon wellbore fracturing system for a subterranean formation is also provided.

Abstract: A wellbore fracturing system that includes wellbore fracturing resources coupled through a wellbore conveyance to a subterranean formation of the wellbore; The wellbore fracturing system further includes a bottom hole pressure gauge that provides a bottom hole gauge pressure, and a processor coupled to the wellbore fracturing resources and the wellbore conveyance that calculates a wellbore friction pressure using a time-series sampling of bottom-hole gauge pressures for a fracturing fluid system after a uniform fracturing fluid condition is achieved in the wellbore. Also included are methods of calculating and managing a wellbore friction pressure.

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: An illustrative monitoring system for a hydraulic fracturing operation includes: a data acquisition module collecting microseismic signals from a subterranean formation undergoing a hydraulic fracturing operation; a processing module implementing a monitoring method; and a visualization module that displays an estimate or prediction of fracture extent. The monitoring method implemented by the processing module includes: deriving microseismic event locations and times from the microseismic signals; fitting at least one fracture plane to the microseismic event locations; projecting each microseismic event location onto at least one fracture plane; determining a time-dependent distribution of the projected microseismic event locations; calculating one or more envelope parameters from the time-dependent distribution; and generating an estimate or prediction of fracture extent using the or more envelope parameters.

Abstract: A method and system for modeling a fracture in a hydraulic fracturing simulator. The method may comprise simulating a well system with an information handling system, defining a closure criteria for a hydraulic fracturing operation, assembling at least one variable in a linear system, assembling at least one variable of a contact force in the linear system, solving for the contact force, and determining at least one opening or at least one closing of the fracture with the contact force. The system may comprise a processor and a memory coupled to the processor. The memory may store a program configured to simulate a well system with an information handling system, define a closure criteria for a hydraulic fracturing operation, assemble at least one variable in a linear system, and determine at least one opening or at least one closing of the fracture with the contact force.

Abstract: The present disclosure relates to oil and gas well proppant compositions and methods for enhancing the conductivity of a propped fracture formed during a hydraulic fracturing operation. The method introduces a micro-proppant slurry prepared with slickwater containing both a low-density and a conventional micro-proppant during injection of the pad fluid stages to prop the natural and induced microfractures open and then injecting a proppant slurry prepared with slickwater containing low-density proppant and conventional frac sand during proppant slurry stage to prop the dominant fractures or large branches, provide open flow paths to keep them connective with the wellbore.

Abstract: The present disclosure relates to oil and gas well proppant compositions and methods for enhancing the conductivity of a propped fracture formed during a hydraulic fracturing operation. The method introduces a micro-proppant slurry prepared with slickwater containing both a low-density and a conventional micro-proppant during injection of the pad fluid stages to prop the natural and induced microfractures open and then injecting a proppant slurry prepared with slickwater containing low-density proppant and conventional frac sand during proppant slurry stage to prop the dominant fractures or large branches, provide open flow paths to keep them connective with the wellbore.