Modelling oil and gas flow rate through chokes: A critical review of extant models
Oil and gas metering is primarily used as the basis for evaluating the economic viability of oil
wells. Owing to the economic implications of oil and gas metering, the subject of oil and gas …
wells. Owing to the economic implications of oil and gas metering, the subject of oil and gas …
An ANN model to predict oil recovery from a 5-spot waterflood of a heterogeneous reservoir
Waterflooding is a secondary oil recovery technique in which water is injected into an
underground oil reservoir to maintain the reservoir pressure and boost oil recovery. The …
underground oil reservoir to maintain the reservoir pressure and boost oil recovery. The …
A novel empirical correlation for waterflooding performance prediction in stratified reservoirs using artificial intelligence
S Kalam, SA Abu-Khamsin, HY Al-Yousef… - Neural Computing and …, 2021 - Springer
Water has been used as an injected fluid for decades to improve oil recovery, commonly
known as waterflooding. Simulating this process is very expensive, especially for the post …
known as waterflooding. Simulating this process is very expensive, especially for the post …
Data-driven modeling approach to predict the recovery performance of low-salinity waterfloods
Low-salinity waterflooding (LSWF) has, in the past decade, attained a lot of attention to
enhance oil recovery. In LSWF, diluted water is injected into an oil reservoir to improve oil …
enhance oil recovery. In LSWF, diluted water is injected into an oil reservoir to improve oil …
New vision into relative permeability estimation using artificial neural networks
Artificial intelligence (AI) has proven to be the smartest predicting tool in the oil and gas
industry. In this paper, Artificial Neural Network (ANN) algorithm was applied to build two …
industry. In this paper, Artificial Neural Network (ANN) algorithm was applied to build two …
Advancing relative permeability estimation through data-driven modeling
Availability of large amounts of data helps in developing data-driven models using state of
the art Artificial intelligence (AI) methodologies. Relative permeability is an important …
the art Artificial intelligence (AI) methodologies. Relative permeability is an important …
Workflow to predict wellhead choke performance during multiphase flow using machine learning
SA Alarifi - Journal of Petroleum Science and Engineering, 2022 - Elsevier
Multiphase flow metering in oil and gas production wells is essential for monitoring the
production performance from oil and gas reservoirs. Accurate measurements of multiphase …
production performance from oil and gas reservoirs. Accurate measurements of multiphase …
Machine Learning for Prediction of CO2 Minimum Miscibility Pressure
Minimum miscibility pressure (MMP) is defined as the minimum pressure at which the CO2 is
dissolved in the oil phase inside the reservoir. Minimum miscibility pressure (MMP) plays a …
dissolved in the oil phase inside the reservoir. Minimum miscibility pressure (MMP) plays a …
Value Creation and Cost Management by Use of the New ISO 15663 Life Cycle Costing Standard
E Willmann, R Østebø, EHR Montalvao - Offshore Technology …, 2021 - onepetro.org
The new edition of the ISO 15663 standard has been developed during the recent years and
will strengthen the industry cost management for business value creation. This paper shows …
will strengthen the industry cost management for business value creation. This paper shows …
Prediction of oil rates using Machine Learning for high gas oil ratio and water cut reservoirs
R Al Dhaif, AF Ibrahim, S Elkatatny… - Flow Measurement and …, 2021 - Elsevier
Allocated well oil rates are essential well performance evaluation. Flow meters are not
reliable at high gas-oil ratio (GOR) and high water-cut (WC). Most of the available formulas …
reliable at high gas-oil ratio (GOR) and high water-cut (WC). Most of the available formulas …