Deep Neural Network Prediction of Mechanical Drilling Speed

Article Energy & Fuels

Modeling and experiment of pressure drop on valve section of hydraulic oscillator

Yu Zhao et al.

Summary: The article focuses on the pressure drop at the hydraulic oscillator valve section, establishing an analytical model and finite element model to validate the results. The maximum error between the analytical and experimental results, as well as between the analytical and finite element model results, was found to be around 7.6%.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)

Add to Collection

Article Computer Science, Information Systems

Performance evaluation of DNN with other machine learning techniques in a cluster using Apache Spark and MLlib

A. N. M. JayaLakshmi et al.

Summary: This study focuses on sentiment analysis using Apache Spark distributed Framework to enhance machine performance. Feature extraction is done using TF-IDF and LDA algorithms, with evaluation of framework performance using DNN, SVM, and tree ensemble classifiers.

JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES (2022)

Add to Collection

Article Acoustics

Performance analysis of low complexity fully connected neural networks for monaural speech enhancement

Himavanth Reddy et al.

Summary: This study compares the run-time complexity of recent deep neural network (DNN) and non-DNN based monaural speech enhancement algorithms. The results demonstrate that a simple fully connected DNN has the lowest run-time computational complexity for the same speech enhancement performance.

APPLIED ACOUSTICS (2022)

Add to Collection

Article Energy & Fuels

Development of remotely operated adjustable stabilizer to improve drilling efficiency

Liping Tang et al.

Summary: An adjustable stabilizer that can change the bottom-hole assemblies without tripping the drillstring out of the wellbore is developed, controlled by opening and stopping the drilling mud pump. The mechanism for controlling the borehole trajectory, structure, and operating principle of the adjustable stabilizer are presented and validated through numerical simulations. The results show satisfactory performance of the adjustable stabilizer under different operational conditions.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2021)

Add to Collection

Article Energy & Fuels

Similarity evaluation of stratum anti-drilling ability and a new method of drill bit selection

Yan Tie et al.

Summary: The study developed a new drill bit selection method using grey relational analysis theory and absolute ideal solution construction, which is simple to calculate and suitable for dynamic drill bit databases. This method can improve drilling efficiency, extend drill bit lifespan, and demonstrate good economic benefits and compatibility in actual drilling operations.

PETROLEUM EXPLORATION AND DEVELOPMENT (2021)

Add to Collection

Article Green & Sustainable Science & Technology