Artificial Intelligence in Operation Monitoring Discovers Patterns Within Drilling Reports

C Carpenter - Journal of Petroleum Technology, 2020 - onepetro.org
This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper
OTC 29815,“Discovering Patterns Within Drilling Reports by Use of Artificial Intelligence for …

Discovering patterns within the drilling reports using artificial intelligence for operation monitoring

D Colombo, DCG Pedronette, IR Guilherme… - Offshore Technology …, 2019 - onepetro.org
In well drilling activities, the execution of a sequence of operations defined in a well project
is a central task. In order to provide proper monitoring, the operations executed during the …

Sequence mining and pattern analysis in drilling reports with deep natural language processing

J Hoffimann, Y Mao, A Wesley, A Taylor - SPE Annual Technical …, 2018 - onepetro.org
Drilling activities in the oil and gas industry have been reported over decades for thousands
of wells on a daily basis, yet little effort was made to analyze this text in large-scale for …

Automatic event identification and extraction from daily drilling reports using an expert system and artificial intelligence

LP Cinelli, JFL de Oliveira, VM de Pinho… - Journal of Petroleum …, 2021 - Elsevier
This work addresses the problem of extracting events from human-written daily drilling
reports (DDRs) in an automated way. Two distinct approaches based on an expert system …

Event Detection in Drilling Remarks Using Natural Language Processing

Z Zhang, T Hou, J Kherroubi… - SPE/IADC Drilling …, 2022 - onepetro.org
Remarks in daily drilling reports (DDR) and daily mud reports (DMR) are an invaluable
source of information for the analysis of ongoing operations and planning of future wells …

Augmenting operations monitoring by mining unstructured drilling reports

M Sidahmed, CJ Coley, S Shirzadi - SPE Digital Energy Conference …, 2015 - onepetro.org
Drilling operations involve substantial planning and execution to achieve safe and cost
effective well delivery. To improve drilling efficiency by minimizing costly non-productive …

Machine learning and natural language processing for automated analysis of drilling and completion data

D Castiñeira, R Toronyi, N Saleri - SPE kingdom of Saudi Arabia …, 2018 - onepetro.org
Abstract During Drilling and Completion (D&C) operations large volumes of data are
typically collected in oil and gas fields. These datasets typically contain hidden (valuable) …

Development and Implementation of an IA-Based System to Automate Textual Classification on Daily Drilling Reports

S Perrout, AF Riente, G Vanni, J Anjos… - Offshore Technology …, 2023 - onepetro.org
Structured daily drilling reports (DDRs) are a rich source of information that allows better
planning, more accurate risk analysis, improved key performance indicators (KPIs), and …

Drilling and completion anomaly detection in daily reports by deep learning and natural language processing techniques

H Zhang, Y Zeng, H Bao, L Liao, J Song… - SPE/AAPG/SEG …, 2020 - onepetro.org
In unconventional oil & gas fields, relative high well density and consistent well programs
lead to more data and potentials to improve operation by data-driven methods. In the fields …

AI-Based System Automates Textual Classification of Daily Drilling Reports

C Carpenter - Journal of Petroleum Technology, 2024 - onepetro.org
Structured daily drilling reports (DDRs) are a rich source of information that allows better
planning, more-accurate risk analysis, and improved key performance indicators and …