Application of geostatistical inversion to thin reservoir prediction

Wang Xiangwen; Liu Hong; Teng Binbin; Wang Lianyu

doi:10.11743/ogg20120509

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Application of geostatistical inversion to thin reservoir prediction
Vol. 33, Issue 5, Pages: 730-735(2012)
Online First：28 October 2012，

Published：2012
DOI： 10.11743/ogg20120509
稿件说明：

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DOI：

Wang Xiangwen, Liu Hong, Teng Binbin, et al. Application of geostatistical inversion to thin reservoir prediction[J]. 2012, 33(5): 730-735. DOI： 10.11743/ogg20120509.

摘要

以厄瓜多尔南部H-N油田M1层薄储层为例

阐述了研究区M1层储层预测难点和存在问题

提出针对性的储层预测方法技术。经过储层和围岩地球物理特征分析

论证了储层预测条件

确定了运用以地质统计学反演为核心的储层预测技术对该区进行储层预测研究

来解决该区储层薄(1~25 ft)、横向变化大、隐蔽性强的薄储层的识别;通过以地震、稀疏脉冲反演、地质统计学反演不同数据体间砂体进行对比分析

精细解释出该区砂体分布;经过无井、盲井和新钻井校验

实现了薄层的高精度预测

提高了预测精度(垂向分辨率达到5 ft)。该预测结果经过在H-N油田的实际应用和新钻井钻探证实

砂层钻遇率为100%

钻探符合率达82%

实现了该区新井产能的突破。

Abstract

Taking M1 thin reservoir in H-N oilfield

Southern Ecuador

as an example

this paper documents the challenges and problems of thin reservoir prediction and presents relevant techniques and methods to tackle these problems.Based on analysis of geophysical characteristics of reservoirs and surrounding rocks

a geostatistical inversion technique is applied in this case to identify the thin(1-25 ft)reservoirs with rapid lateral changes and strong concealment.Sand distribution is refined through correlation between different data volume including seismic interpretation

CSSI(Constrained Sparse Spike Inversion)and geostatistical inversion

and is further checked by non-well

random-wells and newly drilled wells.The accuracy of thin reservoir prediction is greatly enhanced to a vertical resolution up to 5 ft.This technique is successfully applied in H-N oilfield and the new drilling data show that all the prediceted thin sand layers are encountered and the drilling coincidence rate is 82%.