Boundary Control and Estimation for Under-Balanced Drilling with Uncertain Reservoir Parameters

TL;DR

This paper develops a feedback control and estimation method for under-balanced drilling systems with uncertain reservoir parameters, ensuring stability using only topside measurements despite nonlinear and distributed dynamics.

Contribution

It introduces a novel control and observer design for stabilizing under-balanced drilling systems with unknown parameters using a reduced drift flux model.

Findings

Controller stabilizes system around arbitrary pressure setpoints.

Observer accurately estimates gas concentration, pressure, and reservoir parameters.

Simulation results demonstrate effectiveness with industry-standard models.

Abstract

In under-balanced drilling, the bottom-hole pressure is kept below pore pressure, causing pressure dependent influx of reservoir gas into the wellbore that makes the system unstable at low drawdowns. In this paper we propose a feedback controller which stabilizes the system around an arbitrary pressure setpoint, using only topside measurement, and assuming unknown reservoir parameters. A particular challenge with this problem is the distributed and highly nonlinear nature of the system dynamics. As the control model we use the ``reduced Drift Flux Model'' which models gas-liquid flow as a nonlinear transport equation with a non-local integral source term. The observer estimates the distributed gas concentration, downhole pressure and reservoir parameters by solving the system dynamics backwards relative to how the gas rises in the well. The control inputs are then constructed by designing target states over the next sampling period and again solving reversed dynamics to obtain the required topside pressures. The resulting controller is implemented with a 2 minute zero-order hold to accommodate the actuation limitation situation on an actual drilling rig. The results are illustrated in simulations with a industry standard Drift Flux formulation as the plant model.