SPE Formation Evaluation · 1986 · 88 citations · 22 references
Geotechnical EngineeringWellbore PressureEngineeringMultilayer TestingWell LoggingLayered ReservoirsMechanical EngineeringCivil EngineeringHydraulic EngineeringFlow MeasurementMultiphase FlowNew MultilayerWell Performance EvaluationHydrologyReservoir EngineeringPressure Testing
The study introduces new testing and analysis methods to determine individual‑layer permeabilities and skin factors in layered reservoirs. The approach uses sequential flow tests with a production logging tool that records wellbore pressure and flow rate at each layer, followed by logarithmic convolution and nonlinear least‑squares analysis to estimate layer parameters. The methods uniquely recover layer permeabilities and skin factors from the simultaneous pressure‑flow data, a capability not available with conventional drawdown or buildup tests, as demonstrated by synthetic examples.
Summary This paper presents new testing and analysis techniques to obtain individual-layer permeabilities and skin factors for layered reservoirs. The new multilayer testing technique consists of a number of sequential flow tests with a production logging tool that simultaneously measures the wellbore pressure and flow rate at the top of each layer. Two different analysis techniques are presented to estimate layer parameters. The first technique, which is the logarithmic convolution method, estimates the approximate values of parameters. The second technique, which is the nonlinear least-squares estimation method, improves the first estimates. It is shown that layer permeabilities and skin factors can be estimated uniquely from simultaneously measured wellbore pressure and flow-rate data that are acquired from all layers sequentially. It is also shown that these individual-layer parameters cannot be estimated from the conventional drawdown- or buildup-test wellbore pressure data. Several synthetic examples are presented to illustrate the application of multilayer testing and analysis techniques.
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An algorithm for the numerical inversion of Laplace transforms
Yue Kuen Kwok, Daniel Barthez · Inverse Problems · 1989 · 148 citations