18416487. PROBABILISTIC DETECTION OF DRILLING SCENARIOS simplified abstract (Baker Hughes Oilfield Operations LLC)

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PROBABILISTIC DETECTION OF DRILLING SCENARIOS

Organization Name

Baker Hughes Oilfield Operations LLC

Inventor(s)

Andreas Hohl of Hannover (DE)

PROBABILISTIC DETECTION OF DRILLING SCENARIOS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18416487 titled 'PROBABILISTIC DETECTION OF DRILLING SCENARIOS

The abstract describes a method for performing a drilling operation in a subterranean region by acquiring sensor data, estimating probabilities of different drilling scenarios, calculating a break-even threshold based on costs, and performing actions based on the acquired data and threshold.

  • Acquiring sensor data during a drilling operation in a subterranean region
  • Estimating probabilities of drilling scenarios based on different actions taken
  • Calculating a break-even threshold based on costs of mitigating drilling scenarios
  • Performing actions based on acquired sensor data and break-even threshold

Potential Applications: - Oil and gas drilling operations - Geothermal drilling projects - Mining exploration activities

Problems Solved: - Optimizing drilling operations based on real-time data - Minimizing costs associated with potential drilling scenarios - Improving decision-making during drilling activities

Benefits: - Increased efficiency in drilling operations - Cost savings through strategic actions - Enhanced safety measures in subterranean regions

Commercial Applications: Title: "Cost-Effective Drilling Operation Optimization System" This technology can be utilized by oil and gas companies, geothermal energy firms, and mining companies to streamline their drilling processes, reduce costs, and improve overall operational efficiency.

Prior Art: Readers can explore prior patents related to drilling operation optimization systems, sensor data acquisition in drilling, and cost-effective drilling strategies to gain a deeper understanding of the existing technology landscape.

Frequently Updated Research: Stay informed about the latest advancements in sensor technology for drilling operations, cost analysis methodologies in the drilling industry, and real-time data processing techniques for subterranean activities.

Questions about Drilling Operation Optimization: 1. How does this method differ from traditional drilling operation approaches? - The method integrates real-time sensor data and cost analysis to optimize drilling actions, improving efficiency and cost-effectiveness. 2. What are the key factors influencing the calculation of the break-even threshold in this method? - The break-even threshold is calculated based on the probabilities of drilling scenarios and the associated costs, ensuring strategic decision-making during drilling operations.


Original Abstract Submitted

A method of performing a drilling operation includes acquiring sensor data during a drilling operation performed in a subterranean region, estimating a first probability Pof a drilling scenario manifesting if a first action is performed, and estimating a second probability Pof the drilling scenario manifesting if the first action is not performed or a second action is performed. The method includes calculating a break even threshold based on the first probability and the second probability, the break even threshold calculated based on a set of costs including a first cost Cof performing the first action to mitigate the drilling scenario and a second cost Cassociated with the drilling scenario if the first action is not performed or the second action is performed, and based on the acquired sensor data and the break even threshold, performing the first action.