公开(公告)号：US20210131257A1

公开(公告)日：2021-05-06

申请号：US17083645

申请日：2020-10-29

Applicant: Chevron U.S.A. Inc.

Inventor： Vladimir Crkvenjakov ,  Benjamin Ames Leonard ,  Ian S. Smith ,  Kevin Kaczorowski

IPC: E21B44/00 ,  E21B45/00 ,  E21B47/002

Abstract: Real-time data of drilling operations may be utilized to automatically fingerprint and evaluate their values to create enhanced information of interest. Enhanced information of interest may be comparable to given procedure and may facilitate generation of actionable insight and validation of procedural compliance. Real-time data of drilling operations may be analyzed to generate analysis and graphical comparison of specific sub-step operations that make up activities of interest. These operations may correspond to specific actions a driller on a rig may take to manipulate equipment and may be documented as procedural steps.

公开(公告)号：US11313216B2

公开(公告)日：2022-04-26

申请号：US17083645

申请日：2020-10-29

Applicant: Chevron U.S.A. Inc.

Inventor： Vladimir Crkvenjakov ,  Benjamin Ames Leonard ,  Ian S. Smith ,  Kevin Kaczorowski

IPC: E21B47/002 ,  E21B44/00 ,  E21B45/00

Abstract: Real-time data of drilling operations may be utilized to automatically fingerprint and evaluate their values to create enhanced information of interest. Enhanced information of interest may be comparable to given procedure and may facilitate generation of actionable insight and validation of procedural compliance. Real-time data of drilling operations may be analyzed to generate analysis and graphical comparison of specific sub-step operations that make up activities of interest. These operations may correspond to specific actions a driller on a rig may take to manipulate equipment and may be documented as procedural steps.

公开(公告)号：US20240119106A1

公开(公告)日：2024-04-11

申请号：US17963559

申请日：2022-10-11

Applicant: Chevron U.S.A. Inc.

Inventor： Mason C. Edwards ,  Kevin Kaczorowski ,  Paymon Hossaini

IPC: G06F17/11 ,  G06F7/50

CPC classification number: G06F17/11 ,  G06F7/50

Abstract: Application logs to be normalized may be grouped into (1) mutable logs to be changed through normalization, and (2) context logs that remain constant. Reference logs may be grouped into same types of logs. Multivariate linear transformation may be performed on the application logs using the reference logs, with the parameters of the multivariate linear transformation adjusted based on comparison of the probability distribution of reference logs with the probability distribution of normalized application logs.