Abstract: Computerized method and system for deriving a statistical reservoir model of associations between injecting wells and producing wells. Potential injector events are interactively identified from time series measurement data of flow rates at the wells, with confirmation that some response to those injector events appears at producing wells. Gradient analysis is applied to cumulative production time series of the producing wells, to identify points in time at which the gradient of cumulative production changes by more than a threshold value. The identified potential producer events are spread in time and again thresholded. An automated association program rank orders injector-producer associations according to strength of the association. A capacitance-resistivity reservoir model is evaluated, using the flow rate measurement data, for the highest-ranked injector-producer associations.

Abstract: In accordance with aspects of the present disclosure, a computer-implemented method for predicting a material deterioration state of a pipeline is disclosed. The computer-implemented method can be stored on a tangible and non-transitory computer readable medium and arranged to be executed by one or more processors that cause the one or more processors to receive data related to the pipeline, create a mathematical model of pipeline wall corrosion and use the mathematical model to determine sections of pipeline that should be physically inspected.

Abstract: A method for independently modeling a water flow rate, an oil flow rate, and a gas flow rate using data-driven computer models is disclosed. The method can include obtaining parameters of a well associated with an asset during a well test; creating the ensemble of data-driven models to model the water flow rate, the oil flow rate, and the gas flow rate based on the parameters; evaluating each model of the ensemble of models; selecting a subset of models from the ensemble of models; modeling each of the water flow rate, the oil flow rate, and the gas flow rate independently using the subset of models; reconciling each of the water flow rate, the oil flow rate, and the gas flow rate for the well with a total flow rate at the asset; and outputting the water flow rate, the oil flow rate, and the gas flow rate.

Abstract: Methods and systems for using survival modeling methods with pipeline inspection data to determine causal factors for corrosion under insulation comprise determining a first corrosion condition of a pipeline joint at a first time; determining a second corrosion condition of the pipeline joint at a second, subsequent time; determining joint attributes, pipeline attributes, and location attributes associated with the pipeline joint; and repeating the process for a plurality of pipeline joints in one or more pipelines. This information is fed into a multiple regression and survival analysis process that determines regression coefficients reflecting the estimated degrees to which various factors contribute to corrosion under insulation. The survival analysis also determines one or more survival models capable of predicting when a given pipeline joint is likely to transition from a first corrosion state to a different second corrosion state, given values for its various attributes.

Abstract: In accordance with aspects of the present disclosure, a computer-implemented method for predicting a material deterioration of a coupon inserted into the well line system is disclosed. The computer-implemented method can be stored on a tangible and non-transitory computer readable medium and arranged to be executed by one or more processors that cause the one or more processors to receive data related to the well line system; determine one or more predictors of material deterioration of a coupon based on the data; and predict a material deterioration of the coupon inserted into the well line system based on a mathematical model of the material deterioration using the one or more predictors.

Abstract: Computerized method and system for deriving a statistical reservoir model of associations between injecting wells and producing wells. Potential injector events are interactively identified from time series measurement data of flow rates at the wells, with confirmation that some response to those injector events appears at producing wells. Gradient analysis is applied to cumulative production time series of the producing wells, to identify points in time at which the gradient of cumulative production changes by more than a threshold value. The identified potential producer events are spread in time and again thresholded. An automated association program rank orders injector-producer associations according to strength of the association. A capacitance-resistivity reservoir model is evaluated, using the flow rate measurement data, for the highest-ranked injector-producer associations.