Qri Group, LLC

Hamed Darabi

Sébastien François Matringe

David Castiñeira Areas

Ali Karimi Vajargah

David Castineira

Anirban Mondal

Zheren Ma

Cedric Gael Fraces Gasmi

Embodiments are directed to managing and improving a drilling and completions process at a hydrocarbon extraction site, and to optimizing resource allocation at a hydrocarbon extraction site/region. In one scenario, a computer system accesses data generated by hardware sensors implemented by drilling and completion equipment at a hydrocarbon extraction site. The computer system formats the sensor data into a form readable by a data mining algorithm, and mines the formatted sensor data to identify characteristics related to the drilling and completion process. The computer system also accesses and integrates historical data related to the drilling and completion equipment at the hydrocarbon extraction site. The computer system then computes drilling and completion performance indicators that identify inefficiencies based on the characteristics identified for the equipment and based on the accessed historical data. Then, a remediation step is performed to resolve the identified inefficiency.

Data-driven methods and systems for improving oil and gas drilling and completion processes

Embodiments are directed to automatically detecting an event in a production curve, generating a production estimate using a quantile regression and to performing a probabilistic decline curve analysis. In one scenario, a computer system identifies a candidate break point in a production decline curve which represents a decline in material production at a well. The computer system identifies one trend for the production decline curve occurring before the candidate break point and identifies a second trend for the production decline curve occurring after the candidate break point. The computer system calculates the difference between the first material production decline estimate and the second material production decline estimate and identifies the candidate break points where the difference between the first material production decline estimate and the second material production decline estimate is beyond a threshold value. Identifying the candidate break points allows generation of accurate material production forecasts for the well.

Efficient recovery of petroleum from reservoir and optimized well design and operation through well-based production and automated decline curve analysis

Growing community of inventors

Houston, TX, United States of America

Hamed Darabi