Predicting the oil production using the novel multivariate nonlinear model based on Arps decline model and kernel method
X Ma, Z Liu - Neural Computing and Applications, 2018 - Springer
Prediction of petroleum production plays a key role in the petroleum engineering, but an
accurate prediction is difficult to achieve due to the complex underground conditions. In this …
accurate prediction is difficult to achieve due to the complex underground conditions. In this …
Predicting the oil field production using the novel discrete GM (1, N) model.
X Ma, Z Liu - Journal of Grey System, 2015 - search.ebscohost.com
Abstract The discrete GM (1, N) model has been presented in this paper, which is
abbreviated as DGM (1, N) model. The modelling procedures start with deriving the basic …
abbreviated as DGM (1, N) model. The modelling procedures start with deriving the basic …
Research on the Application of Integrated Learning Models in Oilfield Production Forecasting
MC Ni, XK Xin, GM Yu, Y Liu, YG Gong - ACS omega, 2023 - ACS Publications
Forecasting oil production is crucially important in oilfield management. Currently,
multifeature-based modeling methods are widely used, but such modeling methods are not …
multifeature-based modeling methods are widely used, but such modeling methods are not …
Stimulation of oil and gas wells in carbonate formation by using supercharged nanoparticles
V Sergeev, K Tanimoto, M Abe - Abu Dhabi International Petroleum …, 2020 - onepetro.org
An article presents results of comparative analysis for evaluation of effectiveness of classical
stimulation technique and innovative technique applied in the same mature carbonate oil …
stimulation technique and innovative technique applied in the same mature carbonate oil …
A practical integrated forecast method for estimated ultimate recovery (EUR) and well production performance after water breakthrough during waterflooding in …
It is both an opportunity and a challenge to develop naturally fractured reservoirs (NFRs)
effectively and efficiently, especially with waterflooding development measures. In order to …
effectively and efficiently, especially with waterflooding development measures. In order to …
[PDF][PDF] Проактивный блочно-факторный анализ разработки месторождений
АН Ситников, АА Пустовских… - PROНЕФТЬ …, 2022 - proneft.elpub.ru
ПРОАКТИВНЫЙ БЛОЧНО-ФАКТОРНЫЙ АНАЛИЗ РАЗРАБОТКИ МЕСТОРОЖДЕНИЙ Page
1 60 РАЗРАБОТКА И ЭКСПЛУАТАЦИЯ НЕФТЯНЫХ МЕСТОРОЖДЕНИЙ Октябрь 2016 …
1 60 РАЗРАБОТКА И ЭКСПЛУАТАЦИЯ НЕФТЯНЫХ МЕСТОРОЖДЕНИЙ Октябрь 2016 …
Predicting Heavy Oil Production by Hybrid Data‐Driven Intelligent Models
S Qin, J Liu, X Yang, Y Li, L Zhang… - … Problems in Engineering, 2021 - Wiley Online Library
It is difficult to determine the main control factors owing to the complex geological conditions
of heavy oil reservoirs, including high viscosity, a wide range of variation of crude oil, and …
of heavy oil reservoirs, including high viscosity, a wide range of variation of crude oil, and …
Новый подход в планировании базовой добычи с автоматизацией методики поскважинного расчета
АА Рыбаковская, ИВ Фахретдинов… - PROНЕФТЬ …, 2021 - proneft.elpub.ru
Аннотация В статье рассмотрена автоматизация методики поскважинного расчета
прогнозных показателей базовой добычи нефти, жидкости и обводненности на основе …
прогнозных показателей базовой добычи нефти, жидкости и обводненности на основе …
Chemical Sand Consolidation Design in Jasmine Field: Lessons Learned and Critical Success Factors from an Operator Point of View
S Dachanuwattana, P Prasongtham… - Abu Dhabi …, 2020 - onepetro.org
The Jasmine oil field, in the Gulf of Thailand, has several pools of unconsolidated sandstone
reservoirs. Multi-zone completion is usually deployed in these reservoirs, however, sand …
reservoirs. Multi-zone completion is usually deployed in these reservoirs, however, sand …
Predicting emissions from oil and gas operations in the Uinta Basin, Utah
In this study, emissions of ozone precursors from oil and gas operations in Utah's Uinta
Basin are predicted (with uncertainty estimates) from 2015–2019 using a Monte-Carlo …
Basin are predicted (with uncertainty estimates) from 2015–2019 using a Monte-Carlo …