Halliburton Energy Services, Inc.

Vikesh Singh Baghel

Philip D Nguyen

Harold Grayson Walters

Rajender Salla

Dwight David Fulton

Manisha Bhardwaj

Rama Subba Reddy Thavva

Ajish Sreeni Radhakrishnan Potty

Richa Chauhan

The disclosure is directed to methods to design and revise hydraulic fracturing (HF) job plans. The methods can utilize one or more data sources from public, proprietary, confidential, and historical sources. The methods can build mathematical, statistical, machine learning, neural network, and deep learning models to predict production outcomes based on the data source inputs. In some aspects, the data sources are processed, quality checked, and combined into composite data sources. In some aspects, ensemble modeling techniques can be applied to combine multiple data sources and multiple models. In some aspects, response features can be utilized as data inputs into the modeling process. In some aspects, time-series extracted features can be utilized as data inputs into the modeling process. In some aspects, the methods can be used to build a HF job plan prior to the start of work at a well site. In other aspects, the methods can be used to revise an existing HF job plan in real-time, such as after a treatment cycle, a pumping stage, or a time interval.

Hydraulic fracturing operation planning using data-driven multi-variate statistical machine learning modeling

Systems and methods for stabilizing portions of a subterranean formation, including portions of a subterranean formation having unconsolidated particulates, using a consolidating agent comprising polyamino-functionalized nanoparticles are provided. Certain of the methods include the steps of providing a treatment fluid comprising a base liquid and polyamino-functionalized nanoparticles; and introducing the treatment fluid into a portion of a subterranean formation. Treatment fluids comprising polyamino-functionalized nanoparticles include gravel packing fluids, consolidation fluids, and hydraulic fracturing fluids are also provided.

Polyamino-functionalized nanoparticles as hardeners for particulate consolidation

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Pune, India

Vikesh Singh Baghel