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

پیش بینی انتشار آلاینده های هوا درمطالعات ارزیابی اثرات زیست محیطی صنایع پتروشیمی

زهره السادات مجتهدزاده - ندا قاسمی - آرزو نصیری - هلن مربی هروی

Efficient Multi-Objective Optimization for Analyzing Lifetime Characteristics of Battery Energy Storage System in a Standalone Microgrid Considering Resource and Load Limitations

Peyman Zare - Iraj Faraji Davoudkhani - Reza Mohajery - Rasoul Zare - Hossein Ghadimi - Mehdi Ebtehaj

A High-Gain Common-Ground Single-Switch DC-DC Converter with Low Voltage Stress on the Power Switch and Diodes

Ali Nadermohammadi - َAli Seifi - Hadi Aghaei - Seyed Majid Hashemzadeh - Pouya Abolhassani - Ebrahim Babaei

Heat integration of three consecutive distillation columns with a hybrid method for the complete separation of quaternary mixtures

Majid Ahmadi - Farzad Shirmohammadi - Alireza Khadem Emamzadeh - Zahra Mokhtari - Fatemeh Yadang zavareh - Yousef Akbarinia

Impact of Economic Siting Policies of Photovoltaic Farm on Voltage and Rotor Angle Stability: Iran’s Case Study

Jafar Sarbazi - Seyed Amirhossein Hosseini - Seyed Hossein Hosseinian - Gevork Gharehpetian

Data-Driven Model for Predicting Power Generation in Integrated Turbine Units

Mohammad Mahdi Avazpour - Hosein Mohammadi

Disease Diagnosis and Data Protection System for IoT-based Wearable Sensor Network

Erfan Haghighat khah - Mehdi Golsorkhtabaramiri

A Novel Common Grounded Type 1-φ Five-Level Boost PV Inverter with Reduced Device Count

Jaber Fallah Ardashir - Hadi Vatankhah Ghadim - Dorsa Heydari - Jiefeng Hu

A Bi-Level Optimization Model for Citizen Energy Communities Towards Sustainable Development: A Stackelberg Game Theory Approach

Sahar Mobasheri - Masoud Rashidinejad - Amir Abdollahi - Mojgan MollahassaniPour - Sobhan Dorahaki

Single-Switch Ultra-High Step-Up Quadratic DC-DC Converter with High Power Density and Low Cost for DC Microgrid Applications

Ali Nadermohammadi - Hamed Heydari-Doostabad - Seyed Hossein Hosseini

بیشتر