Main control factors and distribution prediction of high-quality carbonate reservoirs in the Nanpu Sag, Bohai Bay Basin

Cao Zhonghong; Zhang Hongchen; Liu Guoyong; Ren Miaosong; Fu Jiang; Wang Enze

doi:10.11743/ogg20150113

Views : 0 下载量: 4019 CSCD: 0

PDF
Export
Share
Collection
Album

Main control factors and distribution prediction of high-quality carbonate reservoirs in the Nanpu Sag, Bohai Bay Basin
Vol. 36, Issue 1, Pages: 103-110(2015)
Online First：08 February 2015，

Published：2015
DOI： 10.11743/ogg20150113
稿件说明：

移动端阅览

DOI：

Cao Zhonghong, Zhang Hongchen, Liu Guoyong, et al. Main control factors and distribution prediction of high-quality carbonate reservoirs in the Nanpu Sag, Bohai Bay Basin[J]. 2015, 36(1): 103-110. DOI： 10.11743/ogg20150113.

摘要

渤海湾盆地南堡凹陷碳酸盐岩潜山油气成藏条件优越，油气富集受地层、构造、储层等多重因素控制，优质储层发育和分布是研究的重点。通过对钻井、测井、岩心等各项资料深入分析，明确了南堡凹陷碳酸盐岩储集空间以溶蚀孔洞为主，主要储层类型为裂缝-孔洞型，裂缝是沟通孔洞的重要通道；碳酸盐岩沉积相带、成岩作用（包括岩溶）、构造作用是碳酸盐岩潜山优质储层发育的主控因素。其中有利沉积相带是储层发育的基础，有利的成岩后生作用是储层发育的保障，有利的构造作用是储层发育的关键。通过细分地层组段开展地震地质储层综合预测，显著提高了储层预测结果的准确性。

Abstract

Hydrocarbon accumulation conditions of carbonate buried-hill are favorable in Nanpu Sag

and hydrocarbon enrichment is controlled by multiple factors like stratigraphy

structure and reservoir.Development and distribution of quality reservoir are the focus of the research.In-depth analysis of drilling

logging

core and other data reveals that the main reservoir type is fractured-vuggy carbonate reservoirs in Nanpu Sag

with dissolution pores and vugs as the dominant reservoir space and fractures as the main channels connecting the pores and vugs.Carbonate sedimentary facies zones

diagenesis (including karstification)

and tectonic process are the main factors controlling on the development of high-quality carbonate buried-hill reservoirs.The favorable sedimentary facies are the basis of reservoir development

the favorable diagenetic epigenesis is the guarantee of reservoir development and the favorable tectonic process is the key to reservoir development.The precision of reservoir prediction is significantly improved through comprehensive seismic and geological reservoir prediction based on layer subdivision.