Well Data Labs, Inc.

Jessica G Iriarte Lopez

Samid Ameer Hoda

Alberto J Ramirez Ramirez

Carly T Wolfbrandt

Mary S Van Domelen

Aspects of the present disclosure are directed to simulating the effect of altering the speed at which a well stage is hydraulically fractured to determine a trade-off between energy usage and pumping time. In one aspect, a method of simulating attributes of a stage completion includes determining a first amount of energy used for a stage completion at a first rate during a well completion process; determining a second rate for simulating the stage completion, the second rate being different than the first rate; simulating the stage completion at the second rate by determining a second amount of energy used for the stage completion at the second rate; and comparing the first amount of energy to a second amount of energy used in the stage completion to determine a trade-off between energy usage and pumping time.

Methods and systems for simulating stage completion to assess tradeoffs between energy and pumping time and altering subsequent stage completions based on the same

One or more aspects of the present disclosure are directed to cloud based applications that automatically and quickly identify start and end times of fracturing stages in real-time as well as one or more additional performance characteristics of the fracturing process. In one aspect, a method for real-time analysis of well data includes receiving treating data for a well in real-time, the treating data including one or more of a treating pressure channel and a slurry rate channel; preprocessing the treating data; identifying one or more stages of one or more fracturing processes in association with which the treating data is received; identifying, automatically and in real-time, a start time and an end time for each of the one or more stages; and generating a visual output of the start time and the end time of each of the one or more stages.

Real-time analysis of in-field collected well fracturing data

A method of mapping unknown well data channels involves generating, with a processor, summary statistics for unknown sequences of well data values where the well data values pertain to respective particular types of data and where each type belongs to a category of well data. The system processes the respective summary statistics with a trained super model to classify the respective sequences of well data values into categories of well data. The system then processes the summary statistics for a given sequence using a trained sub-model of the category to which the sequence belongs in order to further classify the sequence as to its particular type within the category thereby mapping originally unknown sequences of well data values to the correct category and type of well data.

Automated well data channel mapping methods and systems

Certain aspects are directed towards systems and techniques for identifying fracture driven interactions. One example method generally includes: accessing well data comprising a series of well data parameters of a first well corresponding to a time when the first well is being hydraulically fractured; accessing well data comprising a series of pressure values for a second well offset from the first well, the series of pressure values corresponding to the time when the first well is being hydraulically fractured; identifying a time for an event from the series of well data parameters; identifying an offset pressure increase in the series of pressure values for the second well; and generating an indication of fracture driven interaction when the offset pressure increase is within a threshold of the event.

Methods and systems for processing time-series well data to identify events, correlate events, and alter operations based thereon

A method for identifying characteristics of well data comprises receiving hydraulic fracturing data comprising data channels from a stage or stages of a hydraulic fracturing sequence and preprocessing the data channel, which may include normalizing and recalibrating the hydraulic fracturing data. The method further involves generating one or more additional higher order channels based on the normalized and recalibrated hydraulic fracturing data, the one or more additional channels derived at least in part from parameters of the normalized and recalibrated hydraulic fracturing data. The system may combine the higher order channels with the accessed data channels, and further process, combine and otherwise identify hydraulic fracturing events at the well being hydraulically fractured based on the received hydraulic fracturing data and the one or more additional channels. From the identified events, the system may alter hydraulically fracturing attributes of a stage being completed and/or subsequent stages of the well or subsequent wells.

Methods and systems for processing time-series well data using higher order channels to identify features therein and alter hydraulic fracturing operations based thereon

A well completion processing system to identify breakdown pressure, diverter events and offset pressure, in time sequenced fracture data, and use the identification of the same in the modification or adjustment of parameters associated with completion, as well as the display of information in a graphical form, such as an interface. In various examples, the processing system employs higher order channels in the processing of the same.

Methods and systems for processing time-series data using higher order channels to identify events associated with drilling, completion and/or fracturing operations and alter drilling, completion and/or fracturing operations based thereon

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Denver, CO, United States of America

Jessica G Iriarte Lopez