WU Sheng-he, WU Jun-chang, LI Shu-jun, WU Zhi-yu. 3D Microfacies Modeling of Pingqiao Horizontal Well Region of Ansai Oilfield[J]. Acta Sedimentologica Sinica, 2003, 21(2): 266-271.
| Citation:
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WU Sheng-he, WU Jun-chang, LI Shu-jun, WU Zhi-yu. 3D Microfacies Modeling of Pingqiao Horizontal Well Region of Ansai Oilfield[J]. Acta Sedimentologica Sinica, 2003, 21(2): 266-271.
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3D Microfacies Modeling of Pingqiao Horizontal Well Region of Ansai Oilfield
- 1.
Institute of Resources and Information, University of Petroleum, Beijing 102249;
- 2.
Changqing Oilfield Corporation, CNPC, Xi'an 710021
- Received Date: 2002-03-11
- Rev Recd Date:
2002-07-09
- Publish Date:
2003-06-10
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Abstract
Taking the Pingqiao horizontal well region of Ansai oil-field as an example, this paper deals with the method of 3D modeling of sedimentary microfacies using horizontal well and outcrop data and Marked Point Processes technique, in addition deeply study the quantitative architecture model of the delta front in study area. The oil-bearing strata of the study area is Chang 611 of Triassic Yanchang Formation, 20 m or so in thickness. The microfacies is distributary channel, splay and inter-channel shale. There are 10 vertical wells and 5 horizontal wells in the study area in addition to nearby outcrop. Research shows that the width of single channel sandbody is generally from 40 m to 100 m, smaller than the distance among vertical wells. There exist two kinds of reservoir architecture. One is labyrinth reservoir architecture, in which narrow and lenticular sand bodies are distributed discretely within lacustrine shale. The other is jigsaw-puzzle reservoir architecture, which consists of a series of channel sand bodies that laterally overlapped to continuous sandbodies, in which some lateral shaly or calcite non permeable barriers exist among single sandbodies. Geostatistical parameters for 3D microfacies modeling can be picked up effectively using horizontal well and nearby outcrop data. Research shows that Marked Point Processes method is adapt to 3D microfacies modeling of delta front reservoir with known sandbody geometry . The created microfacies model of the study atea is in line with dynamic production data.
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