Yanrui Daisy Ning



Hometown: Luoyang, China
Degree Program: PhD Petroleum Engineering; minor: Geophysics RCP
Email: yning@mymail.mines.edu




I earned my Bachelor’s degree in Petroleum Engineering from China University of Petroleum. My research was focused on using Eclipse to simulate the high-water-cut wells for remaining oil exploration. Then I studied at the University of Wyoming and obtained my Master’s Degree, with a research topic related to the improvement of coal bed natural gas generation.

As a reservoir engineering intern, I joined Anadarko Petroleum Corporation at Denver, CO in summer 2014. In the Wattenberg Reservoir Characterization Group, I worked alongside geologists, geophysicists, reservoir engineers, and completion engineers. My project was focused on using CMG to build reservoir simulation models (dual perm, black oil model) to optimize hydraulic fracture stage spacing for the horizontal wells in the Wattenberg field.

In summer 2015, I worked at Halliburton (Houston, TX). Working in the Integrated Asset Management team, I learned a lot from the experienced folks. I did two projects in three months. One was to build a reservoir simulation model for wells in west Texas Permian Basin, to have a better understanding about the reservoir; the other was to view, modify, and improve the accuracy of reservoir simulation models of four oil fields in Ecuador.

I joined RCP in fall, 2013. My PhD project is about the integration of 4D time-lapse micro seismic and reservoir simulation, based on which, I will build reservoir simulation model to optimize the well spacing and completion design in the Wattenberg Field.


The objective of my research is to evaluate production potential in Niobrara and Codell formations using reservoir modeling with input from 4D seismic mapping. Eleven wells have been used in the reservoir model. The geologic model (software: Petrel) data were obtained from seismic interpretation and well logs while the reservoir model (software: CMG) data include pressure and production and fluid composition information. 

The reservoir model is a dual-porosity formulation which includes fracture and matrix components. It is qualitatively integrated with 4D seismic interpretation to evaluate reservoir performance. For example, one significant reservoir property is the gas saturation evolution in the fractures. Gas saturation distribution affects seismic velocity, which could potentially be determined by the amplitude differences of the time-lapse seismic response. Thus, the reservoir simulation model could be improved from the 4D seismic interpretations. Similarly, the seismic analysis could be enhanced by the results of the reservoir model. The ultimate integrated model will be a good guide for well optimization including well spacing and completion designs, as well as EOR potential evaluation.


I like reading, cooking and many outdoor activities, including hiking, climbing, camping and snowboarding. I also like travelling, in which I can make new friends and see amazing things. 


© 2018 Colorado School of Mines | | Equal Opportunity | Privacy Policy | Directories | Text Only | Mines.edu | rss

Last Updated: 03/16/2018 14:41:45