Halliburton Energy Services, Inc.

Shahab Jamali Ghare Tape

Stanley Vernon Stephenson

Harold Grayson Walters

Mikko K Jaaskelainen

Joseph A Beisel

Kashyap Navinchand Choksey

Erik Lee

Aspects of the subject technology relate to systems and methods for optimizing production flow monitoring by utilizing data driven in-situ injection. Systems and methods are provided for receiving sensor data from at least one of a distributed fiber optic sensing line positioned along a wellbore and a plurality of subsurface and surface sensors, generating flow models based on the sensor data received from the at least one of the distributed fiber optic sensing line and the plurality of subsurface and surface sensors to optimize production flow, and generating flow profiles based on the flow models and the sensor data received from the at least one of the distributed fiber optic sensing line and the plurality of subsurface and surface sensors to adjust zonal inflow device.

Data driven in-situ injection and production flow monitoring

The life of internal components of a frack pump is affected by the frack fluid being pumped. The disclosure evaluates pump components and identifies parameters of frack pumps that may affect the remaining life of pump components based on pump models generated using flow type histories of the frack pumps. Pump related factors can also be used to identify the pump parameters. In one example, a method of evaluating pump components of a frack pump includes: (1) comparing a flow type history of the frack pump to at least one pump model, wherein the flow type history is automatically determined and is based on a proppant concentration of frack fluid pumped by the frack pump, (2) evaluating a condition of at least one component of the pump based on the comparing, and (3) changing a parameter of the pump based on the evaluating.

Automatically detecting a key parameter affecting pump components

The life of internal components of a frack pump is affected by the frack fluid being pumped. Manually trying to keep track of the frack fluid type being pumped is a tedious task that is susceptible to incorrect data or missing data. As such, the disclosure provides automated tracking of the amount of time or fluid volume that frack pumps pump the different fluid types and managing usage of the frack pumps using a history of the pumping. An example method of managing usage of a frack pump includes: (1) obtaining, for a time period or fluid volume, a proppant presence for a frack fluid being pumped by a frack pump, (2) automatically determining a flow type history for the frack pump over the time period or fluid volume based at least on the proppant presence, and (3) controlling a usage of the frack pump using the flow type history.

Automatically determining flow type histories for frack pumps and managing usage thereof using the flow type histories

Disclosed is generating an acquisition request of a component, using a probabilistic model based on current and planned life consumption, to maintain a usable component inventory, by: determining planned consumption of the component; retrieving historical lifetime data associated with the component; determining the associated normalized current life consumed for historical specimens at failure based on a power law equivalency model; determining a probability of survival distribution associated with the component; determine a probability of future failure of each component in inventory given planned consumption of the component; determine a projected number of component failures prior to completion of the job associated with the component; generate the at least one acquisition request to acquire a quantity of new components at least equal to the projected number of specific component failures prior to completion of the job; wherein the usable inventory of the component includes at least the quantity of new components.

Systems and methods for automated probabilistic based forecasts of component demand and cost incorporating data up-sampling

A method is provided. Sensor data regarding a wellbore is received from at least one of a distributed fiber optic sensing line positioned along the wellbore and a plurality of subsurface and surface sensors. Flow models are generated based on the sensor data to optimize production flow. Flow profiles are generated based on the flow models and the sensor data to adjust at least one gas lift valve.

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Houston, TX, United States of America

Shahab Jamali Ghare Tape