COMPUTER-IMPLEMENTED SYSTEMS AND METHODS FOR FORECASTING PERFORMANCE OF WATER FLOODING OF AN OIL RESERVOIR SYSTEM USING A HYBRID ANALYTICAL-EMPIRICAL METHODOLOGY

摘要

Computer-implemented systems and methods are provided for generating corrected performance data of water flooding of an oil reservoir system based on application of a statistical correction factor methodology (SCF). For example, data related to properties of the oil reservoir system and data related to a water flooding scenario are received. Water flooding performance data is generated based on application of an analytical water flooding performance computation methodology. Based on application of the SCF methodology to the generated water flooding performance data, corrected water flooding performance data is determined, representative of oil recovery by the water flooding of the oil reservoir system. The SCF methodology can also be used to evaluate water production based on parameters such as water-oil ratio and water cut, identify possible analog reservoirs that have similar water production performance, and calculate a Gross Injection Factor to account for water loss in the reservoir.