Abstract: A method for recording data relating to the performance of an oil and gas flow network uses statistical data to represent raw data in a compact form. Categories are assigned to time intervals in the data.

Abstract: An oil and gas network comprises multiple branched flow paths, such as in multi-zonal wells and/or multibranched wells and/or networks including multiple wells, and multiple control points at different branches, wherein the multiple control points may include multiple valves and/or pumps for controlling the flow rate through respective flow paths of the multiple branched flow network. The network is modelled to model the variation of one or more flow parameter(s) in one or more flow path(s) of the network.

Abstract: A method of modelling one of a plurality of hydrocarbon production wells, wherein each production well is associated with at least one control point in a flow path associated therewith. The method comprises: (i) generating a first model capable of describing for any one of the first plurality of production wells a relationship between flow parameters, well parameters and/or an associated status of the at least one control point, wherein the first model is parameterised by a set of first parameters representative of properties common to all of the first plurality of production wells. The model can be applied to estimate well parameters, flow parameters and/or the status of control points. In addition, the resultant models can be used to optimise production of the production well.

Abstract: A method for recording data relating to the performance of an oil and gas flow network uses statistical data to represent raw data in a compact form. Categories are assigned to time intervals in the data.

Abstract: A method for recording data relating to the performance of an oil and gas flow network uses statistical data to represent raw data in a compact form. Categories are assigned to time intervals in the data.

Abstract: A method for assessment of an oil and gas flow network comprises: (1) gathering historical data and/or live data relating to the status of multiple control points at different branches within the flow network and to one or more flow parameter(s) of interest in one or more flow path(s) of the flow network d; (2) identifying time intervals in the data during which the control points and the flow parameters are in a steady state; and (3) extracting statistical data representative of some or all steady state intervals identified in step (2) to thereby represent the original data from step (1) in a compact form.

Abstract: A method for assessment of an oil and gas flow network comprises: gathering historical data and/or live data relating to the status of multiple control points at different branches within the flow network and to one or more flow parameter(s) of interest in one or more flow path(s) of the flow network d; identifying time intervals in the data during which the control points and the flow parameters are in a steady state; and extracting statistical data representative of some or all steady state intervals identified in step to thereby represent the original data from step in a compact form.

Abstract: An oil and gas network comprises multiple branched flow paths, such as in multi-zonal wells and/or multibranched wells and/or networks including multiple wells, and multiple control points at different branches, wherein the multiple control points may include multiple valves and/or pumps for controlling the flow rate through respective flow paths of the multiple branched flow network. The network is modelled to model the variation of one or more flow parameter(s) in one or more flow path(s) of the network.

Abstract: A method for recording data relating to the performance of an oil and gas flow network uses statistical data to represent raw data in a compact form. Categories are assigned to time intervals in the data.

Abstract: A method for assessment of an oil and gas flow network comprises: (1) gathering historical data and/or live data relating to the status of multiple control points at different branches within the flow network and to one or more flow parameter(s) of interest in one or more flow path(s) of the flow network d; (2) identifying time intervals in the data during which the control points and the flow parameters are in a steady state; and (3) extracting statistical data representative of some or all steady state intervals identified in step (2) to thereby represent the original data from step (1) in a compact form.