Authors: None

Abstract:

Keywords:

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.90001

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: ---

Authors: None

Abstract:

Keywords:

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.90002

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: ---

Authors: Do, Sy; Forouzanfar, Fahim; Reynolds, Albert

Abstract: When efficient adjoint code for computing the necessary gradients is available, the augmented Lagrangian algorithm provides an efficient and robust method for constrained optimization. Here, we develop an augmented Lagrangian algorithm for constrained optimization problems where adjoint code is not available, and the number of optimization variables is so large that the approximation of gradients with the finite-difference method is not computationally feasible. Our procedure applies a preconditioned steepest ascent algorithm to maximize an augmented Lagrangian function which directly incorporates all bound constraints as well as all inequality and equality constraints. The preconditioned gradient of the augmented Lagrangian is estimated directly using a simultaneous perturbation stochastic approximation (SPSA) with Gaussian perturbations where the preconditioning matrix is a covariance matrix selected to impose a degree of temporal smoothness on the optimization variables, which, for the specific application considered here, are the well controls. Our implementation of this augmented Lagrangian method is applied to estimate the well controls which maximize the net present value (NPV) of production for the remaining life of a given oil reservoir.

Keywords: Production Optimisation: Coupling of production data and transmission systems with numerical modeling and optimization and decision support applications for the reservoir and production system; Smart Wells

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00021

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 1-6

Authors: Foss, Bjarne

Abstract: This paper presents research results within real-time production optimization and reservoir management at the Center for Integrated Operations in the Petroleum Industry (IO center). This includes life-cycle and long term issues like well location and target production rates. Further, results on short term production optimization, for instance the allocation of target production between wells and routing of wells into pipelines, will be presented. Finally, results on value chain optimization, where the production chain from reservoir to export is modelled, are reviewed.

Keywords: Integrated Operations: Control aspects in increasing/automating cooperation between offshore and onshore environments.

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00048

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 7-12

Authors: Szklarz, Slawomir; Rojas, Marielba; Kaleta, Malgorzata

Abstract: We present preliminary results of a performance evaluation study of several gradient-based state-of-the-art optimization methods for solving the nonlinear minimization problem arising in model-reduced gradient-based history matching. The issues discussed also apply to other areas, such as production optimization in closed-loop reservoir management.

Keywords: Production Optimisation: Coupling of production data and transmission systems with numerical modeling and optimization and decision support applications for the reservoir and production system

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00051

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 13-18

Authors: Kim, Jong Suk; Lake, Larry W.; Edgar, Thomas F.

Abstract: Capacitance-resistance modeling of petroleum reservoirs has been used successfully to analyze transient behavior of petroleum reservoirs both onshore and offshore. This paper presents a linear reservoir model that provides advantages over the nonlinear capacitance-resistance model: convex objective function, efficient solution, and direct estimation of confidence limits on model parameters. The proposed procedure uses a constrained linear multivariate regression to infer preferential permeability trends and fractures in a waterflooded reservoir. The relationship between interwell-connectivities and interwell-distance between injector-producer well-pairs was also investigated.

Keywords: Production Optimisation: Coupling of production data and transmission systems with numerical modeling and optimization and decision support applications for the reservoir and production system

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00009

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 19-24

Authors: Zheng, Yingying; Qin, S. Joe; Barham, Michael

Abstract: In remote operation of offshore platforms, real time control systems must be well maintained for efficient and safe operations. Early detection of control and equipment performance degradation is critical and is the foundation for implementing higher level integrated optimization. Poor control performance is usually the result of undetected deterioration in control valves, inadequate performance monitoring, and poor tuning in the controllers. In this work, data-driven approaches to monitoring control performance are applied to an offshore platform. The minimum variance control benchmark for single loops and the covariance benchmark for multi-loops are used to detect deteriorated control variables. The covariance benchmark is used to determine the directions with significantly worse performance versus the benchmark. To detect valve stiction, the Savitzky-Golay smoothing filter is combined with a curve fitting method. The Savitzky-Golay filter has the advantage of preserving features of the distribution such as relative maxima, minima and widths. A stiction index is used to indicate whether a valve stiction occurred. The OSIsoft PI system is suggested as the implementation platform. Real-time data can be exchanged between PI and MATLAB via OPC interface.

Keywords: Valve stiction detection; Savitzky-Golay smoothing filter; oil production; control performance monitoring

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00055

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 25-32

Authors: Soldan, Samuel; Bonow, Gero; Kroll, Andreas

Abstract: In order to automate the routine inspections in large industrial environments a mobile robotic system is being developed in the project RoboGasInspector. The robot’s sensor-head consists of different instruments for remote sensing using multiple measurement principles. First results show that passive IR-thermographic imaging can be used to detect leaks in pipes as well as liquid spills on the ground. The measurable effects are the temperature profile disturbance due to expansion of pressured gas and evaporative cooling, respectively. Tunable Diode Laser Absorption Spectroscopy (TDLAS) measurement systems provide for quantitative gas concentration measurements and feature a high sensitivity due to the active measurement principle. On the contrary, TDLAS systems measure just the concentration along a path at a time and require a diffusely reflecting background. Using a Pan-Tilt Unit, objects/areas can be scanned and abnormal gas concentrations can be identified. This contribution introduces the project RoboGasInspector and presents the used measurement technology as well as first results.

Keywords: Autonomous systems/robotics; Environmental and Safety Issues

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00005

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 33-38

Authors: Fjerdingen, Sigurd Aksnes; Bjerkeng, Magnus; Transeth, Aksel Andreas; Kyrkjebø, Erik; Røyrøy, Anders

Abstract: Robot manipulators may be used as flexible camera platforms by mounting cameras on the wrist of the robot. In this paper we present a new way of interaction between an operator and the camera platform, where the operator wants to get a visual overview of a remote operation. The goal is to relieve the operator from controlling both the operation and the camera platform simultaneously, and allow the operator to focus only on the operation while the camera plaform is automatically controlled based on learned operator preferences. We describe an architecture for learning from operator inputs, and use an active camera control algorithm as a base for learning. An M-RAN sequential function approximator is used as memory function. Experimental results on a demonstration case indicate that the camera platform responds to and remembers differences in operator preference.

Keywords: Autonomous systems/robotics

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00015

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 39-46

Authors: Anisi, David A.; Skourup, Charlotte

Abstract: Developing a reliable and intelligent robotic system which enables the remote operation of normally unmanned oil and gas facilities requires innovative and novel technical solutions. Our strategy for meeting these challenges is based on a step-wise approach involving development and validation of the technology in increasingly demanding settings. This starts with proof-of-concept demonstrations in our indoor test facility located in Oslo, Norway. Taking this one step further, robots and applications are further developed, tested and validated in a co-located outdoor test facility. This is normally an intermediate step before bringing demonstrators onto real oil and gas facilities. In this paper, this design philosophy is elaborated upon and illustrated using the development of a valve manipulation application as an example.

Keywords: Autonomous systems/robotics; Environmental and Safety Issues

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00022

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 47-52

Authors: Kaldestad, Knut Berg; Hovland, Geir; Anisi, David A.

Abstract: Deploying industrial robots in harsh outdoor environments require additional functionalities not currently provided. For instance, movement of standard industrial robots are pre-programmed to avoid collision. In dynamic and less structured environments, however, the need for online detection and avoidance of unmodelled objects arises. This paper focus on online obstacle detection using a laser sensor by proposing three dierent approaches, namely a CAD-based Expert System (ES) and two probabilistic methods based on a Hidden Markov Model (HMM) which requires observation based training. In addition, this paper contributes by providing a comparison between the CAD-based ES and the two versions of the HMM, one trained with real sensor data, and one where virtual sensor data has been extracted from the CAD-model and used during the training phase.

Keywords: Autonomous systems/robotics

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00036

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 53-58

Authors: Leite, Antonio C.; Lizarralde, Fernando; From, Pål Johan; Costa, Ramon R.; Hsu, Liu

Abstract: In this work the problem of remote calibration and trajectory replanning for a subsea robotic manipulator is considered. Because the trajectory planning is normally done in a structured environment, several uncertainties arise when the robot is placed on the seabed and these need to be compensated for to guarantee that the task specifications are fulfilled. We address the particular problem of configuration errors in the robot base with respect to the configuration used during the off-line trajectory planning. A calibration method based on both internal and external sensors is presented in order to estimate the uncertainty in the location of the robot. Moreover, a trajectory replanning strategy in the Cartesian velocity space is proposed to guarantee that the originally planned trajectory is followed. Simulation and experiments performed with a 6-DoF robot manipulator and a real calibration grid show the viability of the proposed planning and control schemes.

Keywords: Autonomous systems/robotics

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00038

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 59-65

Authors: Bayliss, Martin Thomas; Panchal, Neilkunal; Whidborne, James F.

Abstract: This paper details the online-identification-based adaptive design of a stick/slip minimization algorithm and top-drive servo control for Rotary Steerable System (RSS) directional drilling tools. Stick/slip in this context refers to the downhole angular velocity variation of the bit about a nominal value. The basic pole placement controller designs are SISO linear but recursively evaluated based on an online Recursive Least Squares (RLS) identification of the open-loop plant parameters. System architecture implications for the stated algorithm are discussed, and simulation results included with and without adaptive stick/slip mitigation.

Keywords: Remote control; Autonomous decision-making and control

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00001

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 66-71

Authors: Sun, Hui; Li, Zhiyuan; Hovakimyan, Naira; Basar, Tamer; Downton, Geoff

Abstract: This paper considers downhole directional drilling systems in the presence of unexpected variations in steering force, input delays, measurement noise and measurement delays and explores application of L1 adaptive controller for the trajectory control problem. The Explicit Force, Finitely Sharp, Zero Mass (EFFSZM) model is used for the steering system, in which spatial delays, modeling inaccuracies, parametric uncertainties, and noise are considered. The L1 adaptive controller ensures that the centerline of the borehole follows a well path planned according to apriori available geologic conditions and local residential information. Path tracking results are demonstrated by simulations.

Keywords: Automated Drilling: Managed pressure drilling, Dualgradient systems, Directional drilling, etc.

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00035

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 72-77

Authors: Panchal, Neilkunal; Bayliss, Martin Thomas; Whidborne, James F.

Abstract: An attitude control system is presented here, where the attitude of a drilling tool is represented by a unit vector and hence non-linearities of Euler angles are avoided. It is shown in simulation that the control system has a stable orbit about the desired attitude in the presence of drop and turn rate biases, and with a spatial delay due to the sensors. The attitude controller is embedded into a way-point tracking control system where it is demonstrated that the controller tracks the position and attitude of each way-point and minimizes the strain energy along the path.

Keywords: Automated Drilling: Managed pressure drilling, Dualgradient systems, Directional drilling, etc.; Autonomous systems/robotics

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00025

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 78-83

Authors: Matheus, Justo; Ignova, Maja; Hornblower, Peter John

Abstract: This paper proposes the use of a hybrid approach to perform the trajectory control in the oil drilling industry using Rotary Steerable Systems (RSS). Two levels of automation are proposed, the attitude control (Level 1) regulating inclination and azimuth downhole and the outer loop (Level 2), that monitors the performance of the inner loop and controls the directional drilling commands issued to the tool in order to follow a pre-defined plan. The attitude controller was developed using various simulation techniques including Hardware in the Loop, which implements the dynamical model of the regulated variables downhole. This approach guarantees the reliability of the embedded software implemented in the RSS tool.

Keywords: Automated Drilling: Managed pressure drilling, Dualgradient systems, Directional drilling, etc.; Autonomous systems/robotics

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00008

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 84-89

Authors: Siahaan, Hardy B.; Jin, Huiyu; Safonov, Michael G.

Abstract: Managing well pressure in petroleum drilling is essential for avoiding instability. An adaptive PID control using the unfalsified procedure is proposed to regulate the pressure. The scheme chooses the right PID parameter from a set of candidate parameters based on the data measurement instead of any hypothetical model. The scheme eliminates the difficulties in tuning the PID even without any prior knowledge of the system to regulate and results in fast controller adaptation.

Keywords: Automated Drilling: Managed pressure drilling, Dualgradient systems, Directional drilling, etc.

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00017

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 90-94

Authors: Plucenio, Agustinho; Ganzaroli, Cleber A.; Pagano, Daniel Juan

Abstract: Gas lift is one of the most used artificial lift methods worldwide. In Brazil it responds for more than 70% of the total oil production. Gas lift wells are known to present oscillatory production behavior associated with phenomena like heading and density wave. This work presents an innovative way to control these oscillations. The approach adopted controls the well dynamics without fixing any set point, decoupling the dynamic control from the optimization algorithm.

Keywords: Production Optimisation: Coupling of production data and transmission systems with numerical modeling and optimization and decision support applications for the reservoir and production system; Smart Wells; Autonomous systems/robotics

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00016

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 95-100

Authors: Jahanshahi, Esmaeil; Skogestad, Sigurd; Hoel Helgesen, Anette

Abstract: Active control of the production choke valve is the recommended solution to prevent severe slugging flow conditions at offshore oilfields. The focus of this work is to find the structure of a simple, yet robust anti-slug control system. In order to find suitable control variables for stabilization, a controllability analysis of the system with different available measurements or different combinations of them was performed. Moreover, for including robustness and performance requirements at the same time, the controllability analysis was extended to a mixed sensitivity H-infinity optimization problem. Two case studies were considered; first, the controllability analysis was performed on a pipeline-rise system using a 4-state model for comparing the results to the previous works. Next, using a 6-state model, the results were extended to a more general well-pipeline-riser system. The controllability results were in accordance with the practical experience in anti-slug control.

Keywords: Production Optimisation: Coupling of production data and transmission systems with numerical modeling and optimization and decision support applications for the reservoir and production system

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00014

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 101-108

Authors: Di Meglio, Florent; Kaasa, Glenn-Ole; Petit, Nicolas; Alstad, Vidar

Abstract: We review recent advances in the suppression of the slugging phenomenon by model-based control. We focus on three aspects of recent contributions: models, observers and control laws. For each category, we evaluate and compare existing solutions, and propose directions for improvement.

Keywords: Production Optimisation: Coupling of production data and transmission systems with numerical modeling and optimization and decision support applications for the reservoir and production system; Subsea Production

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00029

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 109-115

Authors: Krima, Hazem; Cao, Yi; Lao, Liyun

Abstract: Gas injection as an effective method to mitigate hydrodynamic slug has been studied using OLGA simulation. Different control strategies have been investigated to reduce the amount of injected gas required to mitigate slugs. The control strategies are based on using a PI controller to control the valve opening of gas injection through various riser measurements used as controlled variables. The results show that the holdup transmitter at the riser top as the controlled variable is the best control strategy, followed by the differential pressure across the riser. It is also concluded that using riser top choking reduces the requirement of injection gas.

Keywords: Autonomous decision-making and control; Control of networks; Remote control

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00002

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 116-121

Authors: Enricone Stasiak, Marina; Pagano, Daniel Juan; Plucenio, Agustinho

Abstract: In this paper we propose a new discrete slug-flow control to stabilize severe slugging oscillations in submarine oil-risers. Since the practical objetive is to stabilize the flow keeping the surface choke with a minimum pressure drop, the idea of pressure set-point looses significance. One could say that the control problem is well solved if the pressures and flow-rates do not oscillate while the surface choke is kept opened well above the opening which characterizes the beginning of the limit cycle. The idea is to develop a control strategy which supres the oscillation while keeping the choke opening operating around a desired opening value. If the oscillations are suppressed the resultant pressures will be a consequence of the input mass flow-rate, fluid characteristics and the system geometry. Simulation results were obtained for a case study using a comercial software in order to validate the proposed control system.

Keywords: Subsea Production; Smart Wells; Production Optimisation: Coupling of production data and transmission systems with numerical modeling and optimization and decision support applications for the reservoir and production system

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00032

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 122-127

Authors: Li, Zhiyuan; Hovakimyan, Naira; Kaasa, Glenn-Ole

Abstract: This paper designs an integrated estimator and L1 adaptive control scheme to address the two main challenges involved in the Managed Pressure Drilling (MPD) system: first, the bottomhole states are updated at a low rate, which can be viewed as unmeasured and thus need to be estimated in real time; and second, the drilling process is subject to uncertainties including unknown parameters (e.g., frictions, densities), unmodeled actuator dynamics and noise, which requires a robust adaptive controller for the control of the bottomhole pressure. The estimator provides fast estimation of the bottomhole pressure and flow rate, based on the available measurements from the top-side. The L1 adaptive controller drives the bottomhole pressure to the desired value following a reference model. We also provide a solution to handle input delay. The design is based on a recently developed nonlinear drilling model. The results demonstrate that the L1 adaptive controller has guaranteed performance bounds for both the input and the output signals of the system while using the estimation of the regulated outputs. Simulations that include different operational conditions verify the theoretical findings.

Keywords: Automated Drilling: Managed pressure drilling, Dualgradient systems, Directional drilling, etc.

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00039

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 128-133

Authors: Vega, Marcia; Freitas, Marcela; Folsta, Mauricio; Gandelman, Roni; Martins, Andre

Abstract: Under a conventional oil well drilling task, the pore pressure (minimum limit) and the fracture pressure (maximum limit) define mud density range and pressure operational window. During oil well drilling, several disturbances affect bottom hole pressure; for example, as the length of the well increases, the annulus bottom hole pressure varies for growing hydrostatic pressure levels. In addition, the pipe connection procedure produces disturbances in well fluids flow, changing well pressure. The objective being tracked is operating under desired pressure levels, which assures process safety, also reducing costs, as drilling operation demands around U$500,000.00/day. In this scenario, control techniques are important tools for narrow operational windows, commonly observed at deepwater and pre-salt layer environments. The major objective of this paper is controlling annulus bottom hole pressure of a drilling experimental unit, using the choke opening index as the manipulated variable, in order to guarantee safe operation (target annulus bottom hole pressure), despite the inherent process disturbances and under a scenario that maximization of ROP (rate of penetration) is a target.

Keywords: Automated Drilling: Managed pressure drilling, Dualgradient systems, Directional drilling, etc.

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00012

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 134-139

Authors: Grigoriev, Leonid; Kazakov, Nikolay

Abstract: When designing automated management systems for oilfield development one of the main problems is the uncertainty of control object stemming from natural factors. Field properties’ identification becomes a key task here. Field model adjustment plays a crucial role in this process. It is clear that history matching, as well as control, should be conducted on different time scales. Under the close-loop management, real-time adjustment (history matching) is used, but long-term management requires the model to be adjusted over the entire production lifecycle. This problem can be solved with the help of synergetic models. This article explains why and how the synergistic approach can be applied to the problem of field development management and describes some prospective approaches to field model adjustment throughout the life cycle.

Keywords: Production Optimisation: Coupling of production data and transmission systems with numerical modeling and optimization and decision support applications for the reservoir and production system

Digital Object Identifier (DOI): 10.3182/20120531-2-NO-4020.00020

Conference: 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production

Location: Norwegian University of Science and Technology, Norway

Start Date: Thu May 31 2012 - End Date: Fri Jun 01 2012

Page Numbers: 140-144