Sustainable adosrbent selection and development for NORM removal from Produced Water from Natural Gas Fracking

Naturally occurring radioactive materials (NORM) encountered in oil and gas exploration, development and production operations originates in subsurface formations, which may contain radioactive materials such as uranium, thorium, potassium and their decay products, radium 226 and radium 228. NORM can be brought to the surface in the formation water that is produced in conjunction with oil and gas, which could pose a radiation safety hazard. Natural gas fracking in the Marcellus shale brings out NORM to the surface in a concentrated form. The levels of NORM in flowback water are often initially low because more hydraulic fracturing fluid is being pumped out. However, NORM levels have the potential to climb over time as the fluid being extracted begins to contain proportionally greater amounts of brine. Therefore, the majority of Marcellus produced water contains significant levels of NORM. Current reports ascertain that there is no commercial product on the market that is capable of selectively removing NORM from concentrated produced and flowback waters.

The goal of this project is to develop a screening protocol for an existing high-throughput adsorbents and to develop new adsorbents for NORM removal that are both cost effective and environmentally benign. Computer aided molecular design (CAMD) technique is implimented to develop adsorbents for NORM removal. CAMD is generally the reverse use of the group contribution method (GCM) that is used to generate molecules having desirable properties. GCM has been used to predict state properties like selectivity, relative volatility, surface tension, density, viscosity, and reactivity. We will develop new group contribution methods for important properties of adsorbents based on thermodynamics. The GCM along with CAMD based optimization methods will identify potential groups of environmentally benign adsorbents. To perform the optimization, multi-agent optimization algorithm is implemented.