A Generalized partial molar volume algorithm provides fast estimates of CO 2 storage capacity in depleted oil and gas reservoirs
Conference Paper
Overview
Overview
abstract
An analytical method to estimate the ultimate CO 2 storage capacity in depleted oil and gas reservoirs is developed by implementing a volume-constrained thermodynamic EOS and using average reservoir pressure and fluid compositions. This method can handle all impurities contained in the injection stream by defining and applying a generalized partial molar volume calculation. The algorithm provides fast and thermodynamically consistent estimates of storage capacity and enables the selection of candidate storage reservoirs, schedule injection strategies, and design of surface facilities including compressors and tubulars. Results from this analytical method are in excellent agreement with those from a commercial reservoir simulator. A total of 24 numerical runs were conducted to evaluate scenarios with large pressure and compositional gradients while injecting. CO 2 storage capacity was predicted with an average difference of 1.26 wt % between analytical and numerical methods. The average oil, gas, and water saturations at the end of injection were also matched within 2.35% difference. The analytical algorithm performed several orders of magnitude faster than numerical simulation, with an average of 5 sec/run. This is an abstract of a paper presented at the 2012 AIChE Spring Meeting and 8th Global Congress on Process Safety (Houston, TX 4/1-5/2012).
name of conference
12AIChE - 2012 AIChE Spring Meeting and 8th Global Congress on Process Safety, Conference Proceedings
