首页| The diagnostic criteria of borehole electrical imaging log for volcanic reservoir interpretation: An example from the Yingcheng Formation in the Xujiaweizi Depression, Songliao Basin, China

The diagnostic criteria of borehole electrical imaging log for volcanic reservoir interpretation: An example from the Yingcheng Formation in the Xujiaweizi Depression, Songliao Basin, China

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Electrical image log can be used to establish volcanic fades sequences, and thus used for reservoir interpretation, while the key is to set up available diagnostic criteria to guide lithology, structure and fades interpretation. A total of 50 datasets of borehole image logs, combined with wireline logs and cores, have been collected in the Yingcheng volcanic reservoir in the Xujiaweizi Depression, Songliao Basin, providing an opportunity for repeated image interpretation in the volcanic strata. The interpreted lithology includes rhyolite, dacite, andesite, basalt, welded ignimbrite, tuff, volcanic breccia and agglomerate, sedimentary tuff, sedimentary volcanic breccia and agglomerate. The volcanic structures are calibrated in terms of fluidal and deformed fluidal structure, vesicular and amygdaloidal structure, and massive structure. Based on the lithology and structures, volcanic fades including volcanic sedimentary fades, effusive facies, explosive fades and volcanic conduit fades, have been further determined. Layered structures of the weathered volcanic crusts are shown in borehole images and mainly developed at the top of the Yingcheng Formation. Borehole images indicate that Samax direction in the area is consistent with the regional SHmax direction, with a preferable trending of 88°. Four sets of filled/open tectonic fractures are developed with approximately north, south, NNE and NW dipping. It infers that different volcanic facies can be well correlated between wells, and tectonic movements have a slight influence on the Yingcheng volcanic strata. The proposed diagnostic criteria and the workflow can be referred for a direct image interpretation in volcanic reservoirs or ocean drilling programs when cores are unavailable.

Volcanic faciesReservoir characterizationBorehole electrical imageYingcheng formationSongliao basin

Tao Nian、Guiwen Wang、Dan Cang

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School of Earth Sciences and Engineering, Xi'an Shtyou University, Xi'an, Shaanxi, 710065, China

School of Ceoscience, China University of Petroleum, Beijing 102249, China

2022

Journal of Petroleum Science & Engineering

Journal of Petroleum Science & Engineering

ISSN:0920-4105
年,卷(期):2022.208
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