Characterization of Wastewater from Unconventional Drilling and Current Treatment Options
On Wednesday, January 17, Tiffany Liden, a graduate student at the University of Texas at Arlington, will present a talk titled, “Characterization of Produced Water and Current Treatment Options.” The presentation will take place at 10:30 am in Room 381B.
On Wednesday, January 17, Tiffany Liden, a graduate student at the University of Texas at Arlington, will present a talk titled, “Characterization of Produced Water and Current Treatment Options.” The presentation will take place at 10:30 am in Room 381B.
Approximately 81% of the nation’s energy needs, Liden reports, are supported by fossil fuels. Increasingly, those fossil fuels are being supplied through unconventional oil and gas development from shale and tight sand formations. As unconventional oil and gas development has grown, so have concerns about water usage, the volumes of wastewater produced, and the need to dispose of the wastewater. To develop environmentally responsible wastewater reuse options, it is important to understand the constituents in the wastewater, current waste management strategies, and challenges within the various treatment modalities. Comprehensive analysis of the wastewater matrix requires multiple analytical techniques, including inductively coupled plasma–optical emission spectroscopy, total organic carbon measurements, and gas chromatography.
AI and GenAI Applications to Help Optimize Purification and Yield of Antibodies From Plasma
October 31st 2024Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.
