Abstract: Methods and systems, including computer programs encoded on a computer storage medium can be used for generating dynamic reservoir descriptions using geostatistics in a geological model. Data processing techniques can be used by a computing system to automate processes for generating, and updating (e.g., in real-time), subsurface reservoir models. An integrated methodology and hardware systems are described for determining properties of a reservoir in a subterranean region using a geological model based on seismic data and transient pressure data. The methodology and automated approaches employ technologies relating to machine learning and artificial intelligence (AI) to process seismic data and information relating to seismic facies.

Abstract: Methods and systems, including computer programs encoded on a computer storage medium can be used for generating dynamic reservoir descriptions using geostatistics in a geological model. Data processing techniques can be used by a computing system to automate processes for generating, and updating (e.g., in real-time), subsurface reservoir models. An integrated methodology and hardware systems are described for determining properties of a reservoir in a subterranean region using a geological model based on seismic data and transient pressure data. The methodology and automated approaches employ technologies relating to machine learning and artificial intelligence (AI) to process seismic data and information relating to seismic facies.

Abstract: Techniques to generate dynamically calibrated geo-models green fields are described. A geo-model representing a field on which wells are drilled in a hydrocarbon-bearing formation adjusted to generate multiple adjusted geo-models. Each adjusted geo-model represents a variant of the numerical geo-model. Using each adjusted geo-model, multiple simulated rates of change of bottomhole pressures over time in a well drilled in the hydrocarbon-bearing formation are determined. A measured rate of change of bottomhole pressures over time in the well is compared with the multiple simulated rates of change of bottomhole pressures over time in the well. Based on a result of the comparing, the adjusted geo-model that yielded simulated rates of change of bottomhole pressures that best matched the measured rate of change of bottomhole pressure is identified.

Abstract: Techniques to generate dynamically calibrated geo-models green fields are described. A geo-model representing a field on which wells are drilled in a hydrocarbon-bearing formation adjusted to generate multiple adjusted geo-models. Each adjusted geo-model represents a variant of the numerical geo-model. Using each adjusted geo-model, multiple simulated rates of change of bottomhole pressures over time in a well drilled in the hydrocarbon-bearing formation are determined. A measured rate of change of bottomhole pressures over time in the well is compared with the multiple simulated rates of change of bottomhole pressures over time in the well. Based on a result of the comparing, the adjusted geo-model that yielded simulated rates of change of bottomhole pressures that best matched the measured rate of change of bottomhole pressure is identified.