The Research Of Reservoir Geology For Urho Formation In W Oilfield

This article carries on the comprehensive study of reservoir geology in this area. First of all,making the combination of high resolution sequence stratigraphy principle and continental basin multi cycle sedimentary characteristics,dividing and comparing the thin layer of block Urho, fine stratigraphic framework model is established and Urho formation is divided into 3 sections of 8 layers, by 29 short-term base level cycles.On the basis of the fine stratigraphic framework model, by research on microfacies of Urho group of each layer,to establish sedimentary facies model, through the analysis Urho formation is alluvial fan deposit; Urho formation (p2w) mainly developed fan genya phase (including groove, groove beach, Groove beach side edg, overflow facies etc), the fan middle phase (including braided stream channel and overbank,overflow facies etc), Carry and deposition method is gravity flow deposition and partial traction flow deposition. The sediment from North West West and North North West frequently interleaving spread to the Northeast, East and Southeast.Based on the logging interpretation method with geological conditions,establish the logging interpretation method adapte to research area.Urho reservoir layer is low porosity and low permeability reservoir with the low content of argillaceous rock,strong diagenesis and intragranular dissolved pore is in the majority. With the increase of the buried depth, the porosity of the reservoir decreases gradually. The study on anisotropism found that the anisotropism of Urho reservoir 1+2 is stronger than Urho 3. Compaction and agglutination are the main factors leading to the difference of reservoir. the diagenesis of Urho is strong, The heterogeneity of the micro facies reservoirs in the channel and braided stream is relatively strongFinally, on the basis of the fine stratigraphic framework model and the simulation of reservoir structure, combined with sedimentary facies and heterogeneity of reservoir, research on stochastic modeling of rock facies controlled reservoir, To find out the distribution of the three dimensional space of the reservoir and its attribute parameters, Using the fuzzy mathematics comprehensive judgement method, Comprehensive discrimination of reservoir parameters, To predict the favorable area of the study area.