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Study On The Interpretation Method Of Logging For Glutenite Reservoir In Chaluhe Fault

Posted on:2016-08-22Degree:MasterType:Thesis
Country:ChinaCandidate:G C LiFull Text:PDF
GTID:2310330473465225Subject:Geological engineering
Abstract/Summary:PDF Full Text Request
Chaluhe fault depression is an important area of exploration and development in Jilin oilfield, with 50000000 tons of proven reserves of prospects. The reservoir sand body belongs to piedmont of the rapid accumulation of product, geological complex, bring difficulties to the interpretation, mainly manifested in the following aspects:1, fault development, structural changes, poor continuity of sand body, no obvious sign layer, stratigraphic division and correlation, more difficult; 2, the reservoir lithology is complex, siltstone and fine sandstone, glutenite, conventional curve distinction is not obvious; 3, containing many oil layers, oil and water distribution is complex, from Qijia, Wanchang, Sheling Shuangyang to bedrock were seen better oil and gas flow. There are no uniform oil and water interface in different horizons.4. Mud invasion and mud system are different. There are brine mud and fresh water mud.. According to the characteristics of sonic interval transit time and natural gamma, resistivity curve is reflected in the variation of lithology, the introduction of natural gamma, acoustic transit time and deep investigation resistivity established lithology sensitivity curves of LSI, using LSI lithology identification. The response characteristics of oil and water layers by use of various logging methods, according to the different test oil conclusion, partition based on different lithologies saturation chart. The phenomenon of obvious difference between the oil and gas reservoirs is obvious after the use of acoustic logging curves and resistivity curves, and the characteristics of oil and gas in reservoir are qualitatively judged.. Using neutron density curve overlap method, the oil gas reservoir with relatively lower viscosity can be effectively identified.Therefore the use of logging data, on the rock physics research based, in-depth analysis of different lithology reservoir logging response characteristics and the relationship, to establish reservoir pore and permeability parameter interpretation model and analysis of reservoir fluid identification method and improve the logging interpretation level and the coincidence rate of interpretation, of Chaluhe fault depression of exploration and development is of great significance.
Keywords/Search Tags:log response features, permeability, reservoir porosity, permeability parameter interpretation model, free fluid porosity, water saturation
PDF Full Text Request
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