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) …

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 …

Applications of machine learning and data mining in SpeedWise® drilling analytics: A case study

Z Ma, A Karimi Vajargah, H Lee, R Kansao… - Abu Dhabi …, 2018 - onepetro.org
The daily drilling report (DDR) contains the daily activities and parameters during drilling
and completion (D&C) operations that can be used to identify the bottlenecks and improve …

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 …

[图书][B] Data Analytics in Reservoir Engineering

S Sankaran, S Matringe, M Sidahmed, L Saputelli… - 2020 - researchgate.net
Data Analytics in Reservoir Engineering Page 1 PetroBrief Data Analytics in Reservoir
Engineering Sathish Sankaran Sebastien Matringe Mohamed Sidahmed Luigi Saputelli …

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 …

Natural Language Processing Based Two-Stage Machine Learning Model for Automatic Mapping of Activity Codes Using Drilling Descriptions

A Bhawna, G Gurunath, V Shashwat… - SPE/IADC Middle East …, 2023 - onepetro.org
The daily drilling report (DDR) contains information on daily activities and parameters from
the well operations. The inputs are classified using activity codes to evaluate the field …

Framework for Prediction of NPT causes using Unstructured Reports

S Priyadarshy, A Taylor, A Dev, S Venugopal… - Offshore Technology …, 2017 - onepetro.org
Drilling capital expenditure represents significant portion of any oil and gas project. Drilling
investment accounts to about 40% of the cost of the well. Therefore monitoring the health of …

A brief survey of text mining applications for the oil and gas industry

C Noshi - International Petroleum Technology Conference, 2019 - onepetro.org
Data bases of numerous oil and gas companies embrace very promising potential for more
informed decision-making processes. Furthermore, there is an exponential growth in the …

Pattern analysis in drilling reports using optimum-path forest

GJ Sousa, DCG Pedronette, A Baldassin… - … Joint Conference on …, 2018 - ieeexplore.ieee.org
Well drilling monitoring is an essential task to prevent faults, save resources, and take care
of environmental and eco-planning businesses. During drilling, it is required that staff fill out …