Nvicta Llc.

University of Texas System

Parham Pournazari

Gurtej Saini

Eric Van Oort

Pradeepkumar Ashok

Roman Shor

Adrian Ambrus

Andrei Marchidan

Alejandro Velasco Izquierdo

A system and method of real-time optimization of drilling performance metrics during a well drilling operation, for oil and gas as well as geothermal wells, or wells drilled for any other purpose. In a preferred form, the system receives information about allowable drilling metrics and real-time information of performance indicators. The drilling performance metrics and performance indicators are used to build a model to predict drilling parameters likely to optimize one or more drilling performance metrics.

Method and system for active learning and optimization of drilling performance metrics

A system, method and a computing architecture, for well path planning that can be used in directional drilling and provides for optimal path planning in directional drilling operations. One method includes receiving information about the planned drilling path, target-zone location and planned path changes, and real-time drill-bit location measurements. The method estimates the current state of the geometric location of the drill-bit in the earth during directional drilling operations, and the characteristics of the bottom-hole assembly before and after receiving drill bit location measurements. Such a method preferably determines a time optimal path, such as a Dubins path between the current state of the drill-bit location and the user-provided target-zone.

Optimal path planning for directional drilling

Display screen or portion thereof with a graphical user interface for well drilling

A method, system and computer program product for utilizing look-up tables representing all models in an automation control architecture to independently handle uncertainties in sensed data. Data is stored in a form of conditional probability tables (CPTs) or conditional probability distributions (CPDs), where the data comes from an operator, a service provider, a drilling contractor and an equipment manufacturer. Models of the drilling process domains, such as wellbore hydraulics, drill bit/rock interactions, torque and drag modeling, vibration modeling and drilling machinery operation, are received. Data is extracted from these models into the CPTs or CPDs. The CPTs or CPDs are converted to look-up tables. Data in the look-up tables are then visually displayed in graphical form. As a result, real-time troubleshooting of drilling operations occurs in an efficient manner.

Utilizing look-up tables representing all models in an automation control architecture to independently handle uncertainties in sensed data in oil and gas well construction

Growing community of inventors

Austin, TX, United States of America

Parham Pournazari