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: Method and system for developing reservoirs, such as hydrocarbon reservoirs or aquifers, including correcting pressure transient test data to account for variations of fluid density between a gauge depth and a mid-reservoir depth in a wellbore. Gauge depth pressure and temperature measurements, and density correlations are used to estimate mid-reservoir depth pressures, which can be used in a pressure transient analysis.

Abstract: Method and system for developing reservoirs, such as hydrocarbon reservoirs or aquifers, including correcting pressure transient test data to account for variations of fluid density between a gauge depth and a mid-reservoir depth in a wellbore. Gauge depth pressure and temperature measurements, and density correlations are used to estimate mid-reservoir depth pressures, which can be used in a pressure transient analysis.

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: Provided in some embodiments are systems and methods for transient-pressure test of an oil reservoir water injection well system. Embodiments provide for determining a fracturing injection rate for the well, setting a test injection rate preferably below the fracturing injection rate, conducting a stabilized injection of water into a wellbore of the well at the test injection rate for a prescribed period, and conducting a fall-off test including shutting-in the well for a prescribed fall-off period, and acquiring test data indicative of fluid pressure in the wellbore of the well during the injection and the fall-off periods. Embodiments also provide for generating a model prediction, comparing the model to the test data to determine whether it is a match for the well, and associating the parameter values with the well, including the severity and the location of the shallow damage, if the reservoir model is a match.

Abstract: Provided are systems and methods for developing a hydrocarbon reservoir including determining properties of a well including a wellbore extending into a tested layer of a multi-layer hydrocarbon reservoir including a barrier located between the tested layer and an adjacent layer of the multi-layer hydrocarbon reservoir, determining a point in time at which a value of a rate of influx of production fluid across the barrier from the adjacent layer and into the tested layer corresponds to a production contribution tolerance value for the well, determining a derivative of a profile of pressure in the targeted layer as a function of radial distance from the wellbore of the well at the point in time, and determining a drainage radius for the well corresponding to the derivative of the profile of pressure in the targeted layer and a pressure derivative tolerance value.

Abstract: Provided are systems and methods for developing a hydrocarbon reservoir including determining properties of a well including a wellbore extending into a tested layer of a multi-layer hydrocarbon reservoir including a barrier located between the tested layer and an adjacent layer of the multi-layer hydrocarbon reservoir, determining a point in time at which a value of a rate of influx of production fluid across the barrier from the adjacent layer and into the tested layer corresponds to a production contribution tolerance value for the well, determining a derivative of a profile of pressure in the targeted layer as a function of radial distance from the wellbore of the well at the point in time, and determining a drainage radius for the well corresponding to the derivative of the profile of pressure in the targeted layer and a pressure derivative tolerance value.

Abstract: Provided in some embodiments are systems and methods for transient-pressure test of an oil reservoir water injection well system. Embodiments provide for determining a fracturing injection rate for the well, setting a test injection rate preferably below the fracturing injection rate, conducting a stabilized injection of water into a wellbore of the well at the test injection rate for a prescribed period, and conducting a fall-off test including shutting-in the well for a prescribed fall-off period, and acquiring test data indicative of fluid pressure in the wellbore of the well during the injection and the fall-off periods. Embodiments also provide for generating a model prediction, comparing the model to the test data to determine whether it is a match for the well, and associating the parameter values with the well, including the severity and the location of the shallow damage, if the reservoir model is a match.