Zobrazeno 1 - 10
of 58
pro vyhledávání: '"D. M. Orlov"'
Autor:
Dmitry Koroteev, Ivan Makhotin, Aram Karapetyan, D. M. Orlov, Evgeny Burnaev, Dmitry Antonenko
Publikováno v:
Petroleum. 8:278-290
Well known oil recovery factor estimation techniques such as analogy, volumetric calculations, material balance, decline curve analysis, hydrodynamic simulations have certain limitations. Those techniques are time-consuming, require specific data and
Publikováno v:
SPE Journal. 26:1812-1823
SummaryWe studied the applicability of a gradient-boosting machine-learning (ML) algorithm for forecasting of oil and total liquid production after hydraulic fracturing (HF). A thorough raw data study with data preprocessing algorithms was provided.
Publikováno v:
Day 3 Thu, October 14, 2021.
The approaches of building and methods of using the digital core are currently developing rapidly. The use of these methods makes it possible to obtain petrophysical information by non-destructive methods quickly. Digital rock physics includes two ma
Publikováno v:
Day 3 Thu, October 14, 2021.
To reduce inefficient costs and environmental risks, oil companies strive to optimize the process of hydrocarbon production at all stages of field development, including geological and technical works at wells. In particular, it is important to predi
Publikováno v:
Transport in Porous Media. 128:677-700
The objective of this work is to study the applicability of various machine learning algorithms for the prediction of some rock properties which geoscientists usually define due to special laboratory analysis. We demonstrate that these special proper
Autor:
Y. Feng, J. Ren, Jeremy Lore, Florian Effenberg, Tyler Abrams, Brian Grierson, A. Nagy, R. Maingi, Robert Lunsford, William R. Wampler, Todd Evans, Huiqian Wang, D. M. Orlov, Raffi Nazikian, D.L. Rudakov, Alessandro Bortolon, Heinke Frerichs
Publikováno v:
Nuclear Materials and Energy, Vol 26, Iss, Pp 100900-(2021)
Nuclear Materials and Energy
Nuclear Materials and Energy
DIII-D L-mode experiments with local boron powder injection for real-time wall conditioning have been interpreted for the first time with the 3D plasma edge transport Monte Carlo code EMC3-EIRENE. Local B sourcing in plasma scenarios with upstream de
Autor:
V. V. Alekseev, K. N. Korneeva, D. M. Orlov, R. R. Nyazhemetdinov, A. Y. Tkachev, A. E. Demidov, Dmitry Koroteev, E. E. Baraboshkin, Ruslan Kostoev
Publikováno v:
82nd EAGE Annual Conference & Exhibition.
Automated Full-Bore Core Description Application for Production Purposes. From an Idea to IT-Product
Autor:
E. E. Baraboshkin, Dmitry Koroteev, D.A. Mamaev, E.A. Panchenko, D. M. Orlov, V. V. Alekseev, A.N. Hahina, R. R. Nyazhemetdinov, A. Y. Tkachev, A. E. Demidov, N.N. Gatina
Publikováno v:
Data Science in Oil and Gas 2021.
Summary The automatization is a modern trend in various field of geology. In this work we present a system which were constructed based on convolutional neural network (CNN) for automated core description. The system was successfully applied to produ
Publikováno v:
Day 2 Wed, December 02, 2020.
The approach to handle the unresolved pores at 3D X-ray Micro Computed Tomography (μCT) images of core samples is developed. It enables a sufficient widening of digital rock studies for tight rocks. The μCT images of a low-permeable sandstone with
Publikováno v:
First EAGE Digitalization Conference and Exhibition.
Summary The algorithms for the classification of images are well developed in recent years. They work well when the classes are clearly defined between each other. The geological classes are not like that because they can be observed in different sca