Results 231 to 240 of about 184,285 (299)

Real-time predictive capabilities of analytical and machine learning rate of penetration (ROP) models

Journal of Petroleum Science and Engineering, 2019
Real-time drilling optimization consists of selecting operational parameters that maximize a desirable measure of drilling performance. Drilling optimization efforts often aspire to improve drilling speed, commonly referred to as rate of penetration (ROP)
Cesar Soares
exaly   +2 more sources

Rate of penetration (ROP) optimization in drilling with vibration control

Journal of Natural Gas Science and Engineering, 2019
Drilling optimization is typically tackled by optimizing the rate of penetration (ROP). However, most ROP optimization models do not consider the effect of drilling vibrations, a major ROP inhibitor.
Chiranth Hegde, Harry Millwater, Hugh Daigle   +2 more
exaly   +2 more sources

A New Hybrid Bat Algorithm and its Application to the ROP Optimization in Drilling Processes

IEEE Transactions on Industrial Informatics, 2020
Rate of penetration (ROP) optimization is crucial for drilling processes due to its vital role in increasing efficiency. This article proposes a new hybrid bat algorithm (HBA) to achieve the maximum ROP accurately.
Chao Gan, Wei-Hua Cao, Kang-Zhi Liu
exaly   +2 more sources

Analysis of rate of penetration (ROP) prediction in drilling using physics-based and data-driven models

Journal of Petroleum Science and Engineering, 2017
Chiranth Hegde, Hugh Daigle, Harry Millwater   +2 more
exaly   +2 more sources

Drilling data from an enhanced geothermal project and its pre-processing for ROP forecasting improvement

Geothermics, 2018
Kwang Yeom Kim
exaly   +2 more sources

Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field

Journal of Petroleum Science and Engineering, 2019
Rate of Penetration (ROP) can be considered as a crucial factor in optimization and cost minimization of drilling operations. In order to predict ROP with satisfactory precision, some hybrid artificial intelligence models were developed in the present ...
Seyed Babak Ashrafi, Mohammad Anemangely, Mohammad Sabah, M. Ameri   +3 more
semanticscholar   +1 more source

ROP and TOB optimization using machine learning classification algorithms

, 2020
Drilling Optimization has consistently generated research interest over the years because the cost saving beneifts associated to improve drilling efficiency.
Mayowa Oyedere, K. Gray
semanticscholar   +1 more source

ROP

Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, 2018
High-throughput RNA-sequencing (RNA-seq) technologies provide an unprecedented opportunity to explore the individual transcriptome. Unmapped reads are a large and often overlooked output of standard RNA-seq analyses. Here, we present Read Origin Protocol (ROP), a tool for discovering the source of all reads originating from complex RNA molecules.
Serghei Mangul, Harry Yang, Noah Zaitlen
openaire   +1 more source

Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China

Journal of Petroleum Science and Engineering, 2019
Rate of penetration (ROP) prediction is crucial for the optimization and control in drilling process due to its vital role in maximizing the drilling efficiency.
Chao Gan, Weihua Cao, Min Wu, Xin Chen, Hu Yule, Kang‐Zhi Liu, Fawen Wang, Suo-Bang Zhang   +7 more
semanticscholar   +1 more source

Epidemiology of ROP update - Africa is the new frontier.

Seminars in Perinatology, 2019
Several epidemics of blindness due to retinopathy of prematurity (ROP) have been described, with the most recent (the third) occurring in middle income countries in Latin America and Eastern Europe initially, and more recently in the more advanced ...
C. Gilbert, Aeesha N J Malik, N. Nahar, S. K. Das, L. Visser, S. Sitati, D. Ademola-Popoola   +6 more
semanticscholar   +1 more source