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

فناوری ساختمان‌های جلبکی و نقش آن در افزایش بهره‌وری انرژی ساختمان

مهسا صدیقی - پیمان پورمقدم

Modeling of Light and Carbon Dioxide Concentration in Energetic Dark Greenhouse (EDG)

Sara Mahmoodian Yonesi - Yazdan Alvari - Roghayeh Gavagsaz-Ghoachani - Majid Zandi

بررسی فنی و اقتصادی تأمین برق ایستگاه‌های حفاظت کاتدیک خطوط انتقال گاز با استفاده از سیستمهای خورشیدی منفصل از شبکه(مطالعه موردی: استان گیلان)

حامد حسن زاده - غلامرضا پادیز

A Two-Stage Stochastic Optimization Scheduling Approach for Integrating Renewable Energy Sources and Deferrable Demand in the Spinning Reserve Market

Mohammadmohsen Hayati - Ali Aminlou - Kazam Zare - Mehdi Abapour

Conceptual Design of a Partial Hybrid Electric Engine for Small UAVs Propulsion System

Amin Anjomrouz

A creative way to teach and learn power electronic laboratory equipment in renewable systems

Zohreh Shahrouei - Roghayeh Gavagsaz-Ghoachani - Matheepot Phattanasak

AI-Driven Energy Optimization in Smart Microgrids Using Generative Adversarial Networks

Sara Mahmoudi Rashid - Amir Rikhtehgar Ghiasi - Amir Aminzadeh Ghavifekr

A Comparative Study of the Proposed ANN-based Machine Learning MPPT Method in a Large-Scale Grid-Connected PV System under Variable Climatic Conditions

Navid Dehghan - Mohammad Hossein Shaabani - Mohammad Hossein Nemati - Gevork Gharehpetian - Behrooz Vahidi

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

بهره‌گیری از کامیون احتراق داخلی برای ایجاد پایگاه درمانی اضطراری

مهرداد فروزان - محمدصادق قاضیزاده

بیشتر

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