With the wide application of oil-based drilling fluids in the Xihu Sag, the log response characteristics of reservoirs have changed. This increases the difficulty in identifying complex fluids, rendering fluid assessment methods based on water-based drilling fluids unapplicable. Therefore, this study developed a complex fluid identification method suitable for oil-based drilling fluids based on differences in the gas logging composition, the geochemical characteristic parameters of light hydrocarbons, and spectral morphologies between condensate gas and light oil reservoirs. The results are as follows: (1) Based on the data processing and the selection of optimal sensitive parameters, Pearson correlation analysis was conducted on 10 gas logging-derived parameters. Then, chart boards were developed using sensitive parameters Hc and Hb, allowing for qualitative distinguishment between condensate gas and light oil; (2) Through the fitting of Hc, the parameter with the highest correlation with the gas/oil ratio, to the pump sampling and stratigraphic test data, this study established a quantitative calculation model for the gas/oil ratio, yielding a correlation coefficient exceeding 0.98. Therefore, the model can be used to quantitatively predict the gas/oil ratio while drilling; (3) Significant differences can be observed in the morphological characteristics of geochemical light hydrocarbon spectra between condensate gas and light oil reservoirs. Specifically, the condensate gas reservoirs exhibited high nC1 to nC4 contents, an absence of normal alkanes beyond nC5, and incomplete and low peaks of iso-alkane and aromatic hydrocarbons due to small detection ranges. In contrast, the light oil reservoirs displayed complete n-alkanes components from nC1 to nC9, along with higher peaks of iso-alkanes and aromatics hydrocarbons. (4) Based on the differences in light hydrocarbon ratios between condensate gas and light oil reservoirs, gas index Ig and oil index Io were selected to establish chart boards, which can effectively distinguish both fluids. The combination of gas logging and geochemical light hydrocarbon analysis can effectively overcome the challenge of fluid identification under the condition of oil-based drilling fluids in the Xihu Sag, deserving wide application.
曹英权, 王雷, 鲁法伟, 张国栋, 于喜, 杨毅, 袁胜斌, 景社. 油基钻井液环境下的复杂流体识别方法——以东海西湖凹陷为例[J]. 物探与化探, 2025, 49(3): 599-608.
CAO Ying-Quan, WANG Lei, LU Fa-Wei, ZHANG Guo-Dong, YU Xi, YANG Yi, YUAN Sheng-Bin, JING She. Identification methods for complex fluids under oil-based drilling fluid conditions: A case study of the Xihu Sag in the East China Sea. Geophysical and Geochemical Exploration, 2025, 49(3): 599-608.
Lu F W, Wang M, Cai J R, et al. OBM contamination evaluation to understand reservoir fluid distribution[J]. Fault-Block Oil & Gas Field, 2021, 28(2):219-223.
Zhang G D, Lu F W, Chen B, et al. A fluid properties while drilling rapid identification method under oil-based drilling fluid conditions for low porosity and low permeability reservoirs in the Xihu Sag[J]. Petroleum Drilling Techniques, 2019, 47(5):116-120.
Zhang H, Ni L P, Luo G, et al. Experimental study on the effect of oil-based drilling fluid invasion on NMR logging[J]. Science Technology and Engineering, 2023, 23(12):5013-5021.
Ming X S, Liu S X, Mo Y B. Applied analysis of domestic oil-based drilling fluid CQ-WOM and halliburton oil-base drilling fluid INNOVERT[J]. Science Technology and Engineering, 2016, 16(31):158-162.
Wei F, Li Y L. Identification technology of complex fluid properties based on logging and mud logging data[J]. Fault-Block Oil & Gas Field, 2020, 27(6):760-765.
Xiong T. Application of the fluids logging & analysis in real-time technology in Huizhou 26-6 structure[J]. Science Technology and Engineering, 2023, 23(26):11188-11194.
Liu C F, Jiang Y M, Li N, et al. Hydrocarbon accumulation process in the deep of Paleogene Huagang Formation and Pinghu Formation in the western subsag of Xihu sag[J]. Acta Geologica Sinica, 2024, 98(1):231-246.
Hu Y, Liu B S, Wang X, et al. A rapid identification and evaluation method for reservoir fluid phases based on gas logging hydrocarbon components:Taking the Bozhong 19-6 structure as an example[J]. Oil Drilling & Production Technology, 2018, 40(S1):44-47.
Liu J X, Wang X, Wu H S, et al. Identification method for condensate gas and light oil by gas logging and its application[J]. Special Oil & Gas Reservoirs, 2017, 24(5):48-53.
Sun J S, Jiang G C, He Y B, et al. Technical difficulties and challenges faced by oil-based drilling fluid[J]. Journal of China University of Petroleum:Edition of Natural Science, 2023, 47(5):76-89.
Xie X J, Xiong L Q, Chen Y, et al. Low permeability reservoir characteristics and controlling factors of "sweet points" of Pinghu formation in Xihu Sag[J]. Science Technology and Engineering, 2021, 21(30):12890-12900.
Xiong T, Mao M, Guan L J. A discussion on well logging interpretation method:A case from Paleogene Wengchang and Enping formations in the Huizhou depression[J]. Marine Geology Frontiers, 2019, 35(1):67-73.
Yan W L, Gao C Q, Zhao B, et al. Quantitative calculation method of gas-oil ratio in gas logging data[J]. Science Technology and Engineering, 2020, 20(23):9287-9292.
Guo T Z, Zhang J Y, Chai J, et al. Methodology of calculating oil saturation and the GOR of shale based on logging data[J]. Petroleum Drilling Techniques, 2023, 51(3):126-136.
Sima L Q, Wu F, Ma J H, et al. Quantitative calculation of GOR of a complex oil-gas-water system with logging data:A case study from the Yingdong oil/gas field,Qaidam Basin[J]. Natural Gas Industry, 2014, 34(7):34-40.
Wang P H, Ru L M, Xie H. Comparative study of phase identification based on data correlation and grey correlation[J]. Process Automation Instrumentation, 2020, 41(4):56-61,67.
Huang C Y, Yang Z F, Wu R F, et al. The new method of locating fault section with Pearson correlation[J]. Electrical Engineering, 2018, 19(6):56-60,68.
[19]
杨宝善. 凝析气藏开发工程[M]. 北京: 石油工业出版社,1995:247-248.
[19]
Yang B S. Condensate gas reservoir development project[M]. Beijing: Petroleum Industry Press,1995:247-248.
Song Y X, Wang L, Cai J, et al. Application of geochemical logging technology to reservoir fluid property identification in oil-based drilling fluid environment[J]. Mud Logging Engineering, 2021, 32(4):66-72.
doi: 10.3969/j.issn.1672-9803.2021.04.012
Zhang X X, Chen Z W, Wang T J, et al. Research and application of online light hydrocarbon analysis technology for reservoir fluid property interpretation[J]. China Petroleum Exploration, 2022, 27(3):132-142.
doi: 10.3969/j.issn.1672-7703.2022.03.012