Blar i UiS Brage på forfatter "Sui, Dan"
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Drilling data quality improvement and information extraction with case studies
Geekiyanage, Suranga C. H.; Tunkiel, Andrzej Tadeusz; Sui, Dan (Peer reviewed; Journal article, 2020)Data analytics is a process of data acquiring, transforming, interpreting, modelling, displaying and storing data with an aim of extracting useful information, so that decision-making, actions executing, events detecting ... -
Effect of fluid forces on drill string mechanics
Pinto Ariza, Diego Arturo (Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-07-14)In the present situation of rig operations, the procedure of drill string design is crucial for the successful enlargement of any kind project. Besides of a pipe reliable material, the hoisting system of the rig must be ... -
Estimation of the Free Rotating Hook Load for WOB Estimation
Fernandez Berrocal, Miguel (Master thesis, 2022)Today’s drilling industry emphasizes safety and deeper drilling while reducing drilling costs. Low rate of penetration (ROP) and non-productive time are two main reasons for reduced drilling efficiency. Machine Learning ... -
Experimental Study of Automated Characterization of Non-Newtonian Fluids
Martinez Vidaur, Juan Carlos (Masteroppgave/UIS-TN-IEP/2018;, Master thesis, 2018-06-08)The automation of the drilling fluid properties measurement is a research area that has been pursued in the last few years by the oil industry. Adequate control and monitoring of the density and rheology of the drilling ... -
FIELD-SCALE GENERALITY OF THE MACHINE LEARNING MODELS
Ladino Garcia, Carol Alexandra (Master thesis, 2022)Drilling performance is directly related to fundamental aspects such as drilling variables that can affect the performance of the operation, the well stability, efficiency of drilling equipment, use of new technologies and ... -
Further Development and Testing of an Autonomous Drilling Rig and Control Algorithms for Improved Drilling Performance
Hjelm, Ole André; Nilsen, Simen Jøsang (Masteroppgave/UIS-TN-IEP/2018;, Master thesis, 2018-07-04)This thesis documents the contributions made by Ole André Hjelm and Simen Jøsang Nilsen to improve and further develop a small-scale autonomous drilling rig. The rig has been used to compete in an international student ... -
IMPACT OF DATA PRE-PROCESSING TECHNIQUES ON MACHINE LEARNING MODELS
Tahir, Ali (Master thesis, 2022)The Volve dataset, which contains the time series values of different sensors that have been used at the Volve drilling site contains many flaws which make it hard for machine learning models to learn from the dataset and ... -
Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework
Tunkiel, Andrzej Tadeusz; Sui, Dan; Wiktorski, Tomasz (Peer reviewed; Journal article, 2021-11)Recurrent neural networks (RNN), which are able to capture temporal natures of a signal, are becoming more common in machine learning applied to petroleum engineering, particularly drilling. With this technology come ... -
Improved Dynamic Modelling of Two-Phase Flow in Well Control Operations
de Sousa Gomes, Dalila (PhD thesis UiS;577, Doctoral thesis, 2021-03)This thesis focuses on exploring applications and optimizing transient numerical models for simulating well control situations. The main scope of the research was to find opportunity for improving existing numerical models ... -
Influence of measured thermophysical parameters of drilling fluids on downhole temperature models
Suleman, Muhammad (Masteroppgave/UIS-TN-IEP/2019;, Master thesis, 2019-06-29)Predicting downhole circulating temperature is essential for successful drilling operations as bottom hole temperature variations are a major cause of changing effective mud density and mud volume. So, the effort is needed ... -
Integration of modeling and drilling incident management of a real-time lab-scale autonomous drilling rig
Holsaeter, Andrew (Masteroppgave/UIS-TN-IPT/2017;, Master thesis, 2017-06-29)The basis of this thesis is an attempt to design, construct, and implement a fully autonomous lab scale drilling rig with real time optimization and capable of drilling detection and subsequent mitigation. Two simplified ... -
Integration of Neural Networks and Wellbore Stability, a Modern Approach to Recognize Drilling Problems Through Computer Vision and Machine Learning
Izurieta, Carlos Andres; Rocha Vargas, Luis Alejandro (Masteroppgave/UIS-TN-IEP/2019;, Master thesis, 2019-06-15)Cavings are an endless and valuable source of information when drilling operations is being performed. Multiple parameters can contribute to produce cavings which indicate that failure has occurred or is about to occur ... -
Investigation and study on reinforcement learning for optimizing well path
Chowdhury, Samiul Ehsan (Master thesis, 2021)Designing an optimal path has been considered one of the key challenges for drilling engineers. Even for a group of competent engineers, it takes many months to plan a well. A robust optimized path can influence total cost ... -
Investigation of temperature- and pressure effects on drilling fluid properties and related downhole torque and drag calculations
Tveiterå, Martin (Masteroppgave/UIS-TN-IPT/2016;, Master thesis, 2016-06)Increasing temperature and pressure with depth, affects the properties of drilling fluid. The effect of temperature and pressure on the density and viscosity of drilling fluid is of great importance. This is because, among ... -
Investigation of torsional drillstring motion using finite element model
chevuri rishyank (Master thesis, 2021)In the thesis , a four degree of freedom dynamic drill string model suitable for prediction of self-excited torsional vibrations is modeled using the finite element method. The drill string equation of motion subjected to ... -
Openhole Sidetrack Operations: Drill Bit Design and BHA Configuration Influence in Drilling Performance
Nunes, Larissa (Master thesis, 2021)Sidetrack is a typical drilling technique in which a deviation is made from an already existing well from a position other than its end. Several openhole sidetracks have been performed over the last couple of years in ... -
Optimization of an Intelligent Autonomous Drilling Rig: Testing and Implementation of Machine Learning and Control Algorithms for Formation Classification, Downhole Vibrations Management and Directional Drilling
Løken, Erik Andreas; Løkkevik, Jens (Masteroppgave/UIS-TN-IEP/2019;, Master thesis, 2019-06-14)In recent years, considerable resources have been invested to explore applications for- and to exploit the vast amount of data that gets collected during exploration, drilling and production of oil and gas. Such data will ... -
Path design and optimization with obstacle avoidance via reinforcement learning
Haque, Md Fazlul (Master thesis, 2022)For the last couple of decades, finding an optimized drilling path has been one of the key concerns for drilling engineers. It takes a couple of months to plan a well for a large number of people. The motive of this thesis ... -
Prediction, interpolation and extrapolation of drilling data with Deep Learning
Tunkiel, Andrzej (Doctoral thesis, 2022-11)Directional drilling is an established technology within the petroleum industry. In this traditionally conservative and risk averse environment application of artificial intelligence encounters difficulties at various ... -
Pump pressure manipulation during MPD connection
Meling, Kristoffer (Masteroppgave/UIS-TN-IEP/2018;, Master thesis, 2018-06-14)Over time the remaining oil prospects are becoming harder to drill and managed pressure drilling is a tool that can be used to reach target depth in depleted reservoirs or similar narrow margin scenarios. In any narrow ...