AADE Houston FMG Meeting

 

Automation in the oil and gas industry is becoming increasingly important as companies look to improve efficiency, reduce costs, and enhance safety. One area where automation is particularly relevant is in drilling operations. Machine learning (ML) and Digital Twin (DT) is a technology that is well-suited to this task, as it can analyze large amounts of data, identify patterns, and make predictions, which can help to optimize drilling performance.

 

Rodrigo Serrano is an Engineer with over 10 years experience in oil and gas field focusing on drilling dynamics, process improvement, and increased performance. He also works with big data and data management to automated KPI and improve automation projects. Currently, Rodrigo is the Product Line Manager for NOV looking over Kaizen, which is the drilling optimizer.

 

 

One of the biggest challenges is determining hole cleaning parameters, specifically the cutting load within the bore hole that allows for safe drilling parameters. Historically, this has been determined using rules of thumb.  MaxROP AI aims to use current drilling parameters along with off set data to effectively increase the maximum allowable cuttings load while maintaining borehole safety and mitigating lost time events.

 

Mat Dyngosz has accrued over 11 years of experience in the engineering field, with a Bachelor's and Master's degree in Chemical Engineering from the prestigious Warsaw University of Technology. Mat’s journey started as a Mud Engineer, a role he held for over six years, working in various geographies including the USA, Europe, and the Middle East.

 

Transitioning into a Technical Professional position, Mat spent nearly two years honing his skills in the Middle East before moving to Houston as an AFO Engineer in the Real-time Operations Center. It was here that Mat completed the Halliburton Data Science Academy, a significant milestone that segued his career into data science. Since the fourth quarter of 2021, Mat has been serving as a Principal Data Scientist.

 

Mat’s scope of work is not limited to traditional data science; it extends to developing data pipelines, leveraging computer vision, and devising cutting-edge solutions for drilling operations.

 

Outside of work, Mat cherishes time with his supportive wife and two wonderful kids.

 

 

Presenting – “Upgraded Fluid Management Opens New Opportunities for Drilling Performance Improvements”

 

Leaps in technology, data processing, and the support of remote centers have advanced fluid management beyond basic surveillance. Real-time fluid monitoring technologies can quickly detect anomalies while drilling, easily accessible fluids data can be used for both planning and after-action reviews, and consistent fluid practices can lead to greater fluid uniformity across a fleet. Remote centers now breed collaboration across various disciplines including engineering, fluids, geologist, etc. All of this leading to upgraded fluid management and in turn improvements in drilling performance.

 

Rosario Jara is the XTO Fluid Automation Lead, working at the real time operations center.  She has over 10 years experience in laboratory and experimental design, drilling fluid surveillance and fluid performance improvement.  She currently leads the fluid automation development and field implementation.  Rosario holds a B.Sc. degree in Chemistry from Houston Christian University and an MBA from the University of Houston.

 

Dallas Milligan graduated from The University of Oklahoma in 2018 with a M.S. in Mechanical Engineering and has been a drilling engineer with ExxonMobil and its subsidiaries for the last five years. He is a Professional Engineer with a background in Offshore Deepwater and ERD drilling in a variety of Basins including GoM, Campos/Santos offshore Brazil, Sakhalin Far East Russia, and presently the Permian Basin.