Font Size: a A A

Fine Interpretation Methods. Antlers Field Of Old Logging - Plum Dam Construction Jialing Group Reservoir Series

Posted on:2006-06-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y J ZhangFull Text:PDF
GTID:2190360182955962Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
With the further exploration and development of petroleum field and the leanness of petroleum resources, make use of the well log data to carry on the work that the old well repetition interpretation have already become very important in some old fields and have already obtained the quite good result in some old fields of the our country eastern region. The fine interpretation method research we do in this paper is to aim at some problems, such as less well logging content and bad well logging quality and so on, which lie in the old logging series in JiaLingJiang formation of LuJiaoChang-LiZiBa structure.The preprocessing of well logging data is the basis of numerical processing and comprehensive interpretation. First, the thesis makes use of the flat panel digitizer" to carry on the digitization to a few wells that have not been digitized and then carry on accidental factor correction, depth correction, smooth filtering, environment correction, depth match of core data, standardize…etc. preprocessing works to the 14 wells inside the study district.Choose to Ba25 as the key well, make use of the BP neural network method to build up the neural network model of the CNL(Compensated Neutron Porosity Log) curve and the DEN(Densilog), the related coefficients of model to CNL and DEN which have been studied are 0.969 and 0.722, exploiting the model studied to build up the CNL and the DEN curves of those wells which are old well logging series. Because Rlld(deep investigation laterolog resistivity)and Rlls(shallow investigation laterolog resistivity)is very close by the curve property, we apply the key well curve fitting to establish model to draw up Rlls in those wells that are short of Rlls, the related coefficient of its model is 0.993. We do digitization processing on well logging data with optimization method interpretive software, after processing and drawing up needful well logging curves, building up logging explanation model in point, choosing to explanation parameter fitly. The fracture is the carbonate rock mainly reservoir space and flow passage,identifying and computing its parameters are a needful contents in interpreting carbonate rock reservoir,this paper simple introduces some characteristics on high-angle and low-angle and reticulate fracture at some conventional well loggings, and make use of DLL(Dual Laterolog),CNL,AL(Acoustic log) and CAL(Caliper log) to identify fracture and calculate fracture parameters.Based on the above research works, making the contrast figures between lithology parameter and property, the porosity cross-plots between well core test and log interpretation, the correlation table between log interpretation and test report, the verification of log interpretation result on oil and gas individual to Lu8 well andBal8.From various contrast and the analysis result, verifying the log interpretation result isright, making use of the neural network to set up the neutron and densities curves to usedfor digital processing and comprehensive interpretation on old well logging data is sliceviable.
Keywords/Search Tags:Old Logging Series, Fine Interpretation, Preprocessing, Bp Neural Network, Construct Curve, Fracture Identification, Result Verification
PDF Full Text Request
Related items