Optimization of Flow Rate and Pipe Rotation Speed Considering Effective Cuttings Transport Using Data-Driven Models

Modeling the effects of drillstring eccentricity, pipe rotation and annular blockage on cuttings transport in deviated wells

(2020) Oney Erge et al.   Journal of Natural Gas Science and Engineering

Action unit analysis enhanced facial expression recognition by deep neural network evolution

(2020) Ruicong Zhi et al.   NEUROCOMPUTING

Machine Learning Methods for Herschel–Bulkley Fluids in Annulus: Pressure Drop Predictions and Algorithm Performance Evaluation

(2020) Abhishek Kumar et al.   Applied Sciences-Basel

Time-dependent cuttings transport modeling considering the effects of eccentricity, rotation and partial blockage in wellbore annuli

(2020) Oney Erge et al.   Journal of Natural Gas Science and Engineering

Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review

(2020) Shwetank Krishna et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

An integrated approach for enhancing the overall performance of constructed wetlands in urban areas

(2020) Renkuan Liao et al.   WATER RESEARCH

Integrated energy-efficient machining of rotary impellers and multi-objective optimization

(2019) Gokberk Serin et al.   MATERIALS AND MANUFACTURING PROCESSES

A unified transient solid-liquid two-phase flow model for cuttings transport- modelling part

(2018) Feifei Zhang et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Predicting the pressure losses while the drillstring is buckled and rotating using artificial intelligence methods

(2018) Evren M. Ozbayoglu et al.   Journal of Natural Gas Science and Engineering

Computational intelligence models for PIV based particle (cuttings) direction and velocity estimation in multi-phase flows

(2018) Hatice Tombul et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Settling velocity of drill cuttings in drilling fluids: A review of experimental, numerical simulations and artificial intelligence studies

(2018) Okorie E. Agwu et al.   POWDER TECHNOLOGY

A New Mathematical Method for Solving Cuttings Transport Problem of Horizontal Wells: Ant Colony Algorithm

(2017) Liu Yongwang et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Optimization and modeling of preconcentration and determination of dyes based on ultrasound assisted-dispersive liquid–liquid microextraction coupled with derivative spectrophotometry

(2017) Ebrahim Alipanahpour Dil et al.   ULTRASONICS SONOCHEMISTRY

Application of Real-Time Field Data to Optimize Drilling Hydraulics Using Neural Network Approach

(2015) Yanfang Wang et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Real-Time Evaluation of Hole-Cleaning Conditions With a Transient Cuttings-Transport Model

(2014) Eric Cayeux et al.   SPE DRILLING & COMPLETION

A genetic algorithm with neural network fitness function evaluation for IMRT beam angle optimization

(2013) Joana Dias et al.   Central European Journal of Operations Research

Hole-Cleaning Performance of Gasified Drilling Fluids in Horizontal Well Sections

(2012) Evren M. Ozbayoglu et al.   SPE JOURNAL

Analysis of gas–liquid behavior in eccentric horizontal annuli with image processing and artificial intelligence techniques

(2011) A. Murat Ozbayoglu et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Transport of Small Cuttings in Extended-Reach Drilling

(2008) Mingqin Duan et al.   SPE DRILLING & COMPLETION