Real-time steam allocation workflow using machine learning for digital heavy oil reservoirs

N Sibaweihi, RG Patel, JL Guevara, ID Gates… - SPE Western Regional …, 2019 - onepetro.org
Thermal oil recovery processes are widely used to extract bitumen and heavy oil.
Traditionally, a predetermined amount of steam is allocated to various injector wells using …

Threshold velocity to initiate particle motion in horizontal and near-horizontal conduits

FB Soepyan, S Cremaschi, BS McLaury, C Sarica… - Powder technology, 2016 - Elsevier
To initiate the motion of a solid particle in a conduit, the velocity of the carrier fluid needs to
exceed the threshold velocity for particle transport. Several models have been developed …

A structured approach to optimizing offshore oil and gas production with uncertain models

SM Elgsæter, O Slupphaug, TA Johansen - Computers & chemical …, 2010 - Elsevier
Optimizing offshore production of oil and gas has received comparatively little attention
despite the large scale of revenues involved. The complexity of multiphase flow means that …

Production optimization under uncertainty with constraint handling Kristian

G Hanssen, B Foss, A Teixeira - IFAC-PapersOnLine, 2015 - Elsevier
To maximize the daily production from an oil and gas field, mathematical optimization may
be used to find the optimal operating point. When optimizing, a model of the system is used …

Production optimization under uncertainty-applied to petroleum production

KG Hanssen, B Foss - IFAC-PapersOnLine, 2015 - Elsevier
A key challenge in production optimization is handling of model uncertainty. Traditionally,
production optimization is done in a deterministic setting, ignoring the uncertainty. In this …

Robust formulations for production optimization of satellite oil wells

EO Hülse, E Camponogara - Engineering Optimization, 2017 - Taylor & Francis
In the daily operation of oilfields operators are always seeking for the best operating
conditions. In various situations, a drop in processing capacity is incurred by equipment …

油藏动态实时监测与调控

张凯, 姚军, 刘均荣, 吴明录, 闫霞 - 石油矿场机械, 2010 - cqvip.com
油藏动态实时监测与调控是智能化油田管理的核心内容之一. 该技术以节约生产成本,
最大化油田经济效益为目标, 将油藏实时监测, 数据分析解释, 油藏数值模拟 …

A novel optimization approach for oil and gas production process considering model parameters uncertainties

X Gao, T Liu, Q Yuan, L Wang - The Canadian Journal of …, 2016 - Wiley Online Library
Through analyzing the integrated oil and gas production process, a multi‐objective
optimization model for the integrated oil and gas production process is established through …

[PDF][PDF] 利用地质约束降低天然气概率储量的不确定性

王家华, 卢涛, 陈凤喜, 王旭东, 王勇 - 石油勘探与开发, 2011 - cpedm.com
以YL 气田山西组二段主力气层为例, 利用储集层展布和物性参数的横向和纵向非均质性等地质
条件约束建模, 降低气藏建模结果的不确定性, 从而降低主力气藏概率储量的不确定性 …

Conceptual framework for using system identification in reservoir production forecasting

BM Negash, LD Tufa, R Marappagounder… - Procedia …, 2016 - Elsevier
Defining a reliable forecasting model in petroleum reservoir management has always been
a challenge. In cases where reservoir description is limited and when fast decision with an …