JIN Da. Prediction of mudstone distribution on top of middle Triassic Xiaotangzi formation in Puguang area[J]. Petroleum Reservoir Evaluation and Development, 2019, (4): 6-11. DOI: 10.13809/j.cnki.cn32-1825/te.2019.04.002.
Prediction of mudstone distribution on top of middle Triassic Xiaotangzi formation in Puguang area
Gas logging of multiple wells at the top of Leikoupo formation in Puguang area is better. The laboratory analysis shows that high quality source rocks are developed in Xiaotangzi formation of the overlying strata. Therefore
as an important hydrocarbon source layer and caprock
the mudstone distribution prediction of Xiaotangzi formation is of great significance to the top weathered crust reservoir of Leikoupo formation in Puguang area. On the basis of defining the petrophysical characteristics and logging response characteristics of mudstone in Xiaotangzi formation
the fine well-seismic calibration
geological modeling and forward modeling of mudstone were carried out by using the drilling and 3D seismic data
and the seismic reflection characteristics of mudstone in Xiaotangzi formation were clarified. Finally
combined with paleogeomorphology analysis
attribute analysis and other means
the favorable facies belt of mudstone development was determined. On this basis
the thickness of mudstone was quantitatively predicted by sparse pulse inversion
a set of seismic prediction method suitable for mudstone of Xiaotangzi formation in Puguang area was established
and the distribution of Upper Triassic was predicted. Then the comparison of mudstone thickness with that of completed drilling confirmed the reliability of the prediction results.
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references
Morteza Raeesi,Ali Moradzadeh,Faramarz Doulati Ardejani,Mashallah Rahimi.Classification and identification of hydrocarbon reservoir lithofacies and their heterogeneity using seismic attributes, logs data and artificial neural networks[J].Journal of Petroleum Science and Engineering,2012.
Morteza Raeesi,Ali Moradzadeh,Faramarz Doulati Ardejani,Mashallah Rahimi.Classification and identification of hydrocarbon reservoir lithofacies and their heterogeneity using seismic attributes, logs data and artificial neural networks[J].Journal of Petroleum Science and Engineering,2012.