Quantitative discrimination of architectural elements of fuvial reservoir using well log data

Key words:  fluvial reservoir  well log data  architectural elements  fuzzy diagnosis model

Abstract:

With oilfield entering late development siage, analysis of inner architectural stiucture of underground fluvial reservoir becomes more diflicult, and heterogeneity becomes more aenous. Tc discuas the problems, based on cores, outcrop, drilling and well log data, architectural structure of Guan(5 +6) sand sets in Zhcmg-1 district of Gudao Oilfield was aimlyzed a^coiding to Miall1 a classification. Then characteristic parameters were extracted by using well Log data, and principal component was analyzed to establish quantitative fuzzy diagnosis model. Finally, a set of software was programmed. The results show that the bounding surfaces of study reservoir can be divided into six grades, lithofacies into eleven kinds and architect tural elements into four kinds^ among which (he architectural element restricted by the fourth bounding surface is the most primary unit. By using the software, the architectural elements of underground reservoir can be discriminated effectively. The lateral and vertical extend of reservoir is discriminateci, transformation of architectural structure and overlap mode of sand body are traced effectively, and thus complicated distribution law and heterogeneity degree of iluvia! reservoir are predicted to inatiuct development operation of remaining oil.