Study on the evaluation of CO2 content in high-temperature and high-pressure formations using logging while drilling in the Yinggehai Basin
Author of the article:GUO Shusheng1,2,3, CHEN Xianjun4, WU Yi1
Author's Workplace:1. CNOOC China Ltd., Hainan Branch, Haikou, Hainan, 570100, China; 2. Key Laboratory of Deep Sea Deep Formation Energy Engineering of Hainan Province, Haikou, Hainan, 570100, China; 3. CNOOC South China Sea Oil & Gas Energy Academician Workstation, Haikou, Hainan, 570100, China; 4. China France Bohai Geoservices Co., Ltd., Hainan Branch, Haikou, Hainan, 570100, China
Key Words:High temperature and high pressure; Drilling fluid; Carbon dioxide; Logging while drilling; Prediction model
Abstract:
During the exploration and exploitation of high-temperature and high-pressure
acid gas reservoirs in the Yinggehai Basin, the acid gas CO2 in the formation
can rapidly dissolve in the drilling fluid and react with it. This leads to a
significant deviation between the detected amount of CO2 content in gas logging
and the actual CO2 content in the formation, complicating the accurate
assessment of the formation's CO2
content. By experimentally simulating the underground wellbore environment of
drilling operations, and based on the reaction characteristics of CO2 with
drilling fluid under the high-temperature
and high-pressure conditions,
we analyzed the relationship between pH value, temperature, pressure, calcium
and magnesium ions, carbonate, bicarbonate and their respective changes and the
CO2 occurrence content. Using multiple regression analysis, we analyzed the
pattern of parameter changes influenced by the interaction of CO2 with the
drilling fluid and developed a prediction model for CO2 occurrence content in
drilling fluid system based on the change of ion concentration, deriving 14
prediction equations. The results show that the three-parameter equation is the most convenient for field
application. The five-parameter
equation provides a good explanation for the adsorption behavior of clay
components in drilling fluid towards CO2 under high pressure. Averaging the
prediction results from multi-parameter
equation results in a deviation of less than 30%. The research results can
provide technical reference for accurate prediction of CO2 content in
formations during the drilling of high-temperature
and high-pressure wells with
high alkaline mud.