کنفرانس بین المللی فناوری و مدیریت انرژی

صفحه اصلی / نهمین کنفرانس بین المللی فناوری و مدیریت انرژی

A Practical Approach with Ensemble-Driven Rate of Penetration Prediction and Optimization

نویسندگان :

Amin Saeidi Kelishami¹ َArash Imami Khiyavi² Ali Fahim³ Shahab Ayatollahi⁴

1- دانشگاه صنعتی شریف 2- دانشگاه صنعتی شریف 3- دانشگاه تهران 4- دانشگاه صنعتی شریف

کلمات کلیدی :

Rate of penetration،Neural network،Regression،Prediction،Optimization،Ensemble Learning

چکیده :

This research aims to predict and optimize the rate of penetration (ROP) in drilling operations using artificial intelligence. An ensemble machine learning model is implemented to forecast ROP based on drilling reports. The model is evaluated using metrics like RMSE and optimized with contour plots depicting expected trends based on weight on bit (WOB) and rotational speed per minute (RPM). Also, a multiple regression model is selected for the optimization of ROP. This allows predicting and optimizing ROP using data-driven AI techniques, bridging novel technologies and traditional methods in the oil industry. The results demonstrate the feasibility of applying machine learning to enhance productivity in drilling operations. Further work can expand the models with additional parameters and more advanced algorithms. Overall, this research exemplifies integrating AI into vital industries to augment human expertise.

لیست مقالات

لیست مقالات بایگانی شده

بررسی یک سامانه تولید چندگانه خورشیدی با ذخیره ساز حرارتی

آرمین خزاعی نام - عسگر مینائی - هادی غائبی - محمد عباداللهی

Three-Port Ultra-High Voltage Gain Quadratic DC-DC Converter for Renewable Energy Applications

Ali Nadermohammadi - Fatemeh Falahi - Pouneh Aghakhanlou - Hamed Heydari-Doostabad - Seyed Hossein Hosseini - Ebrahim Babaei

Optimizing energy of carbon dioxide absorption in distilled water using ultrasonic system through response surface methodology

Abolfazl Shokri - Arash Kamran-Pirzaman

Optimal Service Restoration with Repair Crew and Mobile Power Source Scheduling: A Step Towards Smarter Grid

Qasem Asadi - Ali Ashoornezhad - Hamid Falaghi - Maryam Ramezani

Power Factor Correction of Parallel-Connected Boost Converter Utilizing a Fuzzy Logic-Based Controller

Adib Farhadi - Sajad Mohammadi - Seyed Amirhossein Hosseini - Mohammad Mahdi Shahbazi - Mohammad Hassan Moradi

A Robust Control Design and Analysis for Modular Multilevel Converters under Parameter Mismatch

Reza Janbazi Ghadi - Majid Mehrasa - Amirhosein Hoseini

Optimal Placement and Sizing of Distributed Generation and Capacitors with the aim of Reducing Power Losses and Line Density in the Radial Distribution Network

Farzad Mohammadzadeh Shahir - Ebrahim Babaei

Energy Modeling: A Comparison of Statistical Methods and Artificial Neural Networks for Electricity Load Forecasting

Melika Asgharzadeh - Rahim Zahedi - Sahand Heidary

Optimal Synergy Model in Smart Cities for Energy Imbalance Reduction

Morteza Sheikh - Hadi Sadeghi - Mohammad Mohsen Hayati - Hassan Majidi-Garehnaz - Zahra Hesamedini - Ramin Sadooghi

ارزیابی فنی و اقتصادی جایگزینی کولرهای گازی فرسوده در کشور (مطالعه موردی استان خوزستان)

مصطفی قاسمی - علی خندانی - نیلوفر نیکزاد - رحیم زینالی

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.2.0