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Sonny Irawan
Petroleum Engineering Department, School of Mining and Geoscience, Nazarbayev University, Kazakhstan
Energy

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Implication of the Multiphase Influx in Well Control and Circulating System Sonny Irawan; Imros B. Kinif; Muhammad Taufiq Fathaddin; Zulfadli B. Zakaria
Journal of Earth Energy Science, Engineering, and Technology Vol. 3 No. 1 (2020): JEESET VOL. 3 NO. 1 2020
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (796.189 KB) | DOI: 10.25105/jeeset.v3i1.6391

Abstract

A multiphase flow system is commonly faced by oil and gas industries where it constituted of complex design and analysis [1].  Previous studies on the multiphase system have established a number of models including Hagerdon & Brown, Duns & Ros, Orkiszewki and Beggs & Brill [1]. Numerous studies have been carried out on the multiphase system related to production engineering [3]. However, the study on the multiphase system is found limited to be related to well control and drilling management. The multiphase system is interestingly important in well control especially during unwanted circumstances such as kick.  Flow behavior and pattern might be different from one phase system where normally only gas kick is considered during design stage of the drilling campaign. Since the multiphase kick might represent different outcome compared to one phase system, an accurate calculation of multiphase kick is desired. Therefore, the purpose of this study is to observe the impact on the multiphase kick with on the pressure drop reading and its connection with a circulating system. The study will cover on Pressure drop calculation using Beggs & Brill correlation by consolidating all the data given from various sources; Identification of flow regime of the multiphase system for the base case with several reference pressure; Sensitivity analysis including the effect of different liquid content and liquid flow rate towards the pressure drop. The expected outcomes from this study are beneficial for well control management where necessary actions to prevent blowout.
Artificial Neural Network Model to Predict Formation Penetration Rate in "T" Field Tio Prasetio; Sonny Irawan; R. Hari Kariadi Oetomo
Journal of Earth Energy Science, Engineering, and Technology Vol. 3 No. 3 (2020): JEESET VOL. 3 NO. 3 2020
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.244 KB) | DOI: 10.25105/jeeset.v3i3.7967

Abstract

Drilling is a costly activity with high risk. Time is a key variable to minimize costs and risks and increase the overall efficiency of drilling activities. An important factor related to the drilling time is the rate of penetration (ROP). The rate of penetration varies widely and is influenced by many factors. In this research, the correlation is derived using Artificial Neural Network (ANN) Model to predict the penetration rate by considering 11 parameters including formation conditions, drilling bit, drilling fluid, and drilling operations to validate the penetration rate data that are obtained from the surrounding wells. Determination of the neural network structure is carried out to obtain the best ANN model. This model produces an equation that can predict the penetration rate of the 'T' field with an error percentage of ± 20%. The existing model is used to optimize the next well drilling activity. Data processing using the ANN method which is relatively fast and precise shows that the application of this method is interesting to discuss and develop.
Co-Authors Imros B. Kinif Muhammad Taufiq Fathaddin, Muhammad Taufiq R. Hari Kariadi Oetomo Tio Prasetio Zulfadli B. Zakaria