Saudi Arabian Oil Company

Tareq Ghamdi

Hyung Tae Kwak

Dong Kyu Cha

Muhammad Majid Almajid

Klemens Katterbauer

Moataz Abu AlSaud

Ali Abdallah Alyousef

Abdallah A Alshehri

Atul Godbole

Mohammed Abbad

Naif J Alqahtani

A method that may include obtaining well path data describing a first well path through one or more formations. The method may include obtaining first acquired drilling parameter data in real-time during a drilling operation for a predetermined well, wherein the drilling operation corresponds to the first well path. The method may include determining, by a computer processor, first predicted drilling data using a machine-learning model, the well path data, and the first acquired drilling parameter data, wherein the first predicted drilling data may include a predicted well path. The method may include determining whether the first predicted drilling data satisfies a predetermined criterion. The method may include determining, in response to determining that the first predicted drilling data fails to satisfy the predetermined criterion, an adjusted well path. The method may include transmitting a first command to update the drilling operation to implement the adjusted well path.

Intelligent underbalanced coiled tubing drilling (UBCTD) geosteering operations advisory system and method of use

A method and system for labeling and identifying a sample, including a rock core sample, after determining a physical primary label has been compromised is provided. The method includes labeling the sample by placing a physical primary label on the sample or sample container, creating a first rollout image of the sample for a secondary label, and storing the first rollout image in a secondary label digital database with a sample identifier. The method continues for identifying the sample after determining the physical primary label has been compromised by creating a secondary rollout image of the sample and searching the secondary label digital database using the second rollout image to create a plurality of matching scores using a machine learning or deep learning image matching technique. The matching scores are then evaluated to determine an identify of a sample and the sample is re-labelled using a replacement primary label.

Sample labeling method using image-matching

Growing community of inventors

Dhahran, Saudi Arabia

Tareq Ghamdi