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 …

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 …

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) …

Augmented Text Mining for Daily Drilling Reports using Topic Modeling and Ontology

S Arumugam, S Rajan, S Gupta - SPE Western Regional Meeting, 2017 - onepetro.org
Exploring Textual data has been often presented as a challenge across all the industries
around the world. This challenge has been alleviated to an extent by the biomedical industry …

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 …

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 …

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 …

Auto-Suggestive Real-Time Classification of Driller Memos into Activity Codes Using Natural Language Processing

J Ucherek, T Lawal, M Prinz, L Li, P Ashok… - SPE/IADC Drilling …, 2020 - onepetro.org
Activity codes recorded by drillers are very useful for quantifying invisible lost time (ILT).
However, classifying more than 100 activity codes accurately and consistently across …

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 …

Evolving neural conditional random fields for drilling report classification

LCF Ribeiro, LCS Afonso, D Colombo… - Journal of Petroleum …, 2020 - Elsevier
Oil and gas prospecting is an important economic activity, besides being expensive and
quite complex, thus requiring close monitoring to avoid work accidents and mainly …