Cheltenham, United Kingdom

Maja Ignova

This inventor holds 21 USPTO granted patents and 7 published patent applications, plus 1 CIPO patent and 1 EPO patent, primarily in Directional Drilling. Top assignee: Schlumberger Technology Corporation. Active years: 2014-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maja Ignova. Retrieved from https://idiyas.com/inventor/maja-ignova

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 21 

% Patents Active = 85.7

 

 

Average Co-Inventor Count = 3.5

ph-index = 3

Forward Citations = 30(Granted Patents)


Location History:

  • Cheltenham, GB (2014 - 2017)
  • Stonehouse, GB (2021 - 2023)

Company Filing History:


Years Active: 2014-2026

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Areas of Expertise:
Directional Drilling
Trajectory Control
Downhole Tool
Rotary Steerable System
Drilling Curvature
Wellbore Deviation
Closed Loop Control
Dynamic Well Construction
Stick-Slip Detection
Surface Supervision
Drilling System
Automated Control
21 patents (USPTO):Explore Patents

Title: Maja Ignova: Innovator in Drilling Technology

Introduction

Maja Ignova is a prominent inventor based in Cheltenham, GB. She has made significant contributions to the field of drilling technology, holding a total of 10 patents. Her innovative approaches have advanced the efficiency and effectiveness of downhole tools used in drilling operations.

Latest Patents

Maja's latest patents include a drilling system that involves acquiring drilling performance data for a downhole tool. This method models the drilling performance to generate results and trains a machine learning model using the collected data. The trained model is then used to predict the behavior of the downhole tool. Another notable patent is her dynamic well construction model, which dynamically constructs a well by receiving inputs that specify characteristics of a proposed well. An indicator for the construction of the proposed well is generated using these inputs and a machine learning model trained with data from actual wells.

Career Highlights

Maja Ignova works at Schlumberger Technology Corporation, a leading company in the oil and gas industry. Her work focuses on integrating advanced technologies into drilling processes, enhancing operational efficiency and safety. Maja's expertise in machine learning and data analysis has positioned her as a key player in her field.

Collaborations

Throughout her career, Maja has collaborated with notable colleagues such as Peter Hornblower and Steven Hough. These partnerships have fostered innovation and have led to the

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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