Web Enabled High Fidelity Drilling Computer Model with User-Friendly Interface for Education, Research and Innovation

Ewald, Robert H.; Gravdal, Jan Einar; Sui, Dan; Shor, Roman

doi:10.3384/ecp18153162

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…The simulator used to study the proposed optimization technique is OpenLab, high-fidelity drilling simulator developed by the Norwegian Research Centre (NORCE) in collaboration with the University of Stavanger. The simulator consists of a set of integrated numerical models covering different aspects of the drilling process, including torque and drag effects, cuttings transport, multi-phase flow and heat transfer [21]. The models on the OpenLab platform are run by supplying the simulator with setpoints for input variables, which the simulator translates to actions on the drill-floor with built-in functions which limits the allowable rate of changes according to equipment specifications [22].…”

Section: Drilling Simulatormentioning

confidence: 99%

Micro-Testing While Drilling for Rate of Penetration Optimization

Nystad¹,

Павлов²

2021

Preprint

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The Rate of Penetration (ROP) is one of the key parameters related to the efficiency of the drilling process. Within the confines of operational limits, the drilling parameters affecting the ROP should be optimized to drill more efficiently and safely, to reduce the overall cost of constructing the well. In this study, a data-driven optimization method called Extremum Seeking is employed to automatically find and maintain the optimal Weight on Bit (WOB) which maximizes the ROP. To avoid violation of constraints, the algorithm is adjusted with a combination of a predictive and a reactive approach. This method of constraint handling is demonstrated for a maximal limit imposed on the surface torque, but the method is generic and can be applied on various drilling parameters. The proposed optimization scheme has been tested on a high-fidelity drilling simulator. The simulated scenarios show the method's ability to steer the system to the optimum and to handle constraints and noisy data.

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Section: Drilling Simulatormentioning

confidence: 99%

Micro-Testing While Drilling for Rate of Penetration Optimization

Nystad¹,

Павлов²

2021

Preprint

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Digitalization of Detailed Drilling Operation Plans and Verification of Automatic Progress Tracking with an Online Drilling Simulator Environment

Farmanbar¹,

Revheim²,

Uberg³

et al. 2020

IADC/SPE International Drilling Conference and Exhibition

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In the age of digitalization and automatization of drilling operations, it is time to move the detailed drilling operating procedure from its classical text format, only intended for human interpretation, to a structured representation that can be utilized efficiently by computer systems. The immediate benefit of this transformation is that progress tracking during an operation can be fully automated. To verify that automatic progress tracking can be performed with a digital version of the detailed operating procedure, simulated operations have been fed to the digital procedure and activity recognition software. The matching quality is thereafter assessed for each step of the planned drilling and non-drilling operating procedure. The detailed digital operating procedure itself is automatically generated from general descriptions contained in the operation program like tubular strings and fluids, and operational limits. The testing procedure utilized five operations generated on the fly by a simulator: running in hole and tagging bottom, setting liner hanger and releasing running tool, pull out of hole, spacing out a completion seal assembly in a liner top and setting and testing a production packer. The simulated operations were inspired by actual operations recorded in a real-time data server. The simulator runs remotely and is accessible through different application programming interfaces. The simulated data stream is very realistic compared to recorded data but offers the possibility to make variations on the simulated sequence and therefore test the reliability of the operation recognition algorithm. From a technical point of view, there are no differences where the real-time data flow comes from and what is the source of the data, whether it comes from a real-time data server, drilling simulator or any other source of the real-time data. All the simulated operation steps were successfully recognized by the system for the test case scenarios and proper notifications were triggered when required which proves the effectiveness of both the implemented system and the simulator. The new system is a unique approach to automatically digitalize operating procedures and activities and track them. The method also automatically warns when execution deviates from the plan and allows the instant deployment of best practices.

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Web Enabled High Fidelity Drilling Computer Model with User-Friendly Interface for Education, Research and Innovation

Cited by 2 publications

References 8 publications

Micro-Testing While Drilling for Rate of Penetration Optimization

Micro-Testing While Drilling for Rate of Penetration Optimization

Digitalization of Detailed Drilling Operation Plans and Verification of Automatic Progress Tracking with an Online Drilling Simulator Environment

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