Abstract: Differential equations defining physics of a reservoir are modeled as a neural network. Measured data for the reservoir is used as boundary condition to calculate the different equation parameters. The result is a neural ordinary differential equation network that models reservoir characteristics (e.g., inter-well connectivities, response times for injection wells and production wells) using physics that are encoded into the network. The neural ordinary differential equation network provides a solution for the reservoir that is constrained by the physics of the reservoir.

Abstract: In accordance with some embodiments, a method of determining a flow profile for a wellbore using unique particulate tracers is disclosed.

Abstract: In accordance with some embodiments, a method of placing unique particulate tracers in a subterranean formation having a wellbore therewithin is disclosed. In accordance with some embodiments, a system of placing unique particulate tracers in a subterranean formation having a wellbore therewithin is disclosed. In accordance with some embodiments, a method of determining a fraction of a stage in which to place a unique particulate tracer is disclosed.

Abstract: In accordance with some embodiments, a method of determining a flow profile for a wellbore using unique particulate tracers is disclosed. The unique particulate tracers are pumped only in a fraction of each stage such that a substantial portion of the unique particulate tracers are placed in a near wellbore region of the subterranean formation proximate to the wellbore.

Abstract: Differential equations defining physics of a reservoir are modeled as a neural network. Measured data for the reservoir is used as boundary condition to calculate the different equation parameters. The result is a neural ordinary differential equation network that models reservoir characteristics (e.g., inter-well connectivities, response times for injection wells and production wells) using physics that are encoded into the network. The neural ordinary differential equation network provides a solution for the reservoir that is constrained by the physics of the reservoir.

Abstract: Described herein are various embodiments of computer-implemented methods, computing systems, and program products for analyzing a flood operation on a hydrocarbon reservoir. For example, an embodiment of a computer implemented method of analyzing at least a first flood operation and a second flood operation. The embodiment includes, for each flood operation: receiving production data and injection data, running capacitance resistance modeling, using the generated response times, the generated interwell connectivities, the received production data, the received injection data, or any combination thereof to generate a proxy of pore volume swept per well pair, and aggregating the generated proxies to generate an estimate of pore volume swept at a well level, at a reservoir level, or both for the flood operation. The embodiment also includes comparing the generated estimate of pore volume swept to determine a change in sweep efficiency at the well level, at the reservoir level, or both.

Abstract: Described herein are various embodiments of computer-implemented methods, computing systems, and program products for analyzing a flood operation on a hydrocarbon reservoir. An embodiment of a computer implemented method of identifying conformance candidates is provided. The embodiment includes, for a first entity: solving an injection entity index to generate an injection entity index value, solving a production entity index to generate a production entity index value, evaluating an operation entity index that represents operation status to generate an operation entity index value, and combining the injection entity index value, the production entity index value, and the operation entity index value to generate a conformance problem index value for the first entity.

Abstract: Described herein are various embodiments of computer-implemented methods, computing systems, and program products for analyzing a flood operation on a hydrocarbon reservoir. An embodiment of a computer implemented method of identifying conformance candidates is provided. The embodiment includes, for a first entity: solving an injection entity index to generate an injection entity index value, solving a production entity index to generate a production entity index value, evaluating an operation entity index that represents operation status to generate an operation entity index value, and combining the injection entity index value, the production entity index value, and the operation entity index value to generate a conformance problem index value for the first entity.

Abstract: Described herein are various embodiments of computer-implemented methods, computing systems, and program products for analyzing a flood operation on a hydrocarbon reservoir. For example, an embodiment of a computer implemented method of analyzing at least a first flood operation and a second flood operation. The embodiment includes, for each flood operation: receiving production data and injection data, running capacitance resistance modeling, using the generated response times, the generated interwell connectivities, the received production data, the received injection data, or any combination thereof to generate a proxy of pore volume swept per well pair, and aggregating the generated proxies to generate an estimate of pore volume swept at a well level, at a reservoir level, or both for the flood operation. The embodiment also includes comparing the generated estimate of pore volume swept to determine a change in sweep efficiency at the well level, at the reservoir level, or both.