基于粒度控制的复杂储层渗透性建模方法

doi:10.13278/j.cnki.jjuese.201601305

摘要/Abstract

摘要：

岩石颗粒大小反映了沉积岩结构的主要特征,是岩石岩性的主要评价指标,同时也是影响沉积物渗透性的主要因素。沉积环境在纵向上表现出来的差异性,使得粒序控制下的地层渗透性在纵向上也表现出非均质性。为了精细地描述由于粒度大小造成的渗透率的非均质性,本文首先结合岩心粒度分析资料,分析了研究区粒度大小对物性影响的规律,利用自然伽马、中子、密度、声波曲线,通过测井地质分析提取敏感参数,建立了粒度计算模型;然后以粒度为指标,建立了不同粒度大小条件下的渗透率计算模型。通过现场资料的处理及其与岩心资料的对比,认为这种渗透率建模方法能够较好地反映沉积物粒度对岩石渗透性的控制作用,能够更加精确地描述复杂岩性地层渗透率的非均质性特征,从而可为地质开发研究提供更为准确的渗透率剖面。

关键词: 测井, 复杂储层, 渗透率, 粒度, 非均质性

Abstract:

Particle-size is one of the main feature of sedimentary rock structures, the main indicators to evaluate the rock lithology, and also the main controlling factors on the sediment's permeability. As the sedimentary environment manifests differences in vertical, the permeability controlled by particle-size also shows heterogeneity in vertical. In order to describe the heterogeneity of the permeability caused by particle-size precisely, the authors utilize GR, CNL, DEN, and DT curves, combine with the particle-size analysis data of cores, abstract several parameters which are sensitive to particle-size, and set up a model to calculate the particle-size. Then, the permeability model under the conditions of different particle sizes is established. Through field data processing and contrast of core data, this model has been proved to be feasible in reflecting the control mechanism of sediment particle-size to the permeability, and in describing the heterogeneity of the permeability in reservoirs with complex lithology more precisely. A more accurate permeability profile is thereby provided for geological research and development.

Key words: well logging, complex reservoir, permeability, particle-size, heterogeneity

中图分类号:

P631.8

赵军, 代新雲, 古莉, 祁新忠, 陈伟中. 基于粒度控制的复杂储层渗透性建模方法[J]. 吉林大学学报(地球科学版), 2016, 46(1): 279-285.

Zhao Jun, Dai Xinyun, Gu Li, Qi Xinzhong, Chen Weizhong. Method of Permeability Model Establishment Based on the Complex Reservoir Controlled by Particle-Size[J]. Journal of Jilin University(Earth Science Edition), 2016, 46(1): 279-285.

参考文献

[1] 陈恭洋,周艳丽,胡勇.碎屑岩储层岩石物理特征及岩性解释方法[J].西南石油大学学报(自然科学版),2011, 33(2):21-27. Chen Gongyang, Zhou Yanli, Hu Yong. The Ptrophysics Caracterization of Castic Reservoir and the Mthods of Lthology[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2011, 33(2):21-27.

[2] 于学峰,周卫健,刘晓清,等. 青藏高原东部全新世泥炭灰分的粒度特征及其古气候意义[J]. 沉积学报,2006,24(6):864-869. Yu Xuefeng, Zhou Weijian, Liu Xiaoqing, et al. Grain Size Characteristics of the Holocene Peat Sediment in Eastern Tibetan Plateau and Its Paleoclimatic Significance[J]. Acta Sedimentologica Sinica, 2006, 24(6):864-869.

[3] 李长安,张玉芬,袁胜元,等."巫山黄土"粒度特征及其对成因的指示[J].地球科学:中国地质大学学报,2010,35(5):879-884. Li Chang'an, Zhang Yufen, Yuan Shengyuan, et al. Grain Size Characteristics and Origin of the "Wushan Loess" at Wushan Area[J]. Earth Science:Journal of China University of Geosciences, 2010, 35(5):879-884.

[4] 罗利,朱心方,常俊,等.苏5、桃7区块不同粒度碎屑岩测井识别方法[J].天然气工业,2007, 27(12):36-38. Luo Li, Zhu Xinfang, Chang Jun, et al. Logging Recognition Methods for Clastic Rocks with Different Granularities in Blocks SU-5 and TAO-7[J]. Natural Gas Industry, 2007, 27(12):36-38.

[5] 张晓岗,胡晓辉,王艳青,等.岩石特性测量技术在测井综合解释中的应用[J].中国测试技术,2008, 34(5):113-115. Zhang Xiaogang, Hu Xiaohui, Wang Yanqing, et al. Application of Rock Characteristic Measurement Technologies on Logging Comprehensive Interpretation[J]. China Measurement & Testing Technology, 2008, 34(5):113-115.

[6] 韩承霖,张云峰.大安油田扶余油层致密砂岩储层物性特征及影响因素分析[J].吉林大学学报(地球科学版),2015, 45(增刊1):1515. Han Chenglin, Zhang Yunfeng. Da'an Oilfield in Fuyu Oil Layer Dense Sandstone Reservoir Physical Characteristics and Influence Factors Analysis[J]. Journal of Jinlin University (Earth Science Edition), 2015, 45(Sup.1):1515.

[7] 马奔奔,操应长,王艳忠,等.东营凹陷盐家地区沙四上亚段砂砾岩储层岩相与物性关系[J].吉林大学学报(地球科学版),2015,45(2):495-506. Ma Benben, Cao Yingchang, Wang Yanzhong, et al. Relationship Between Lithofacies and Physical Properties of Sandy Conglomerate Reservoirs of Es₄^s in Yanjia Area, Dongying Depression[J]. Journal of Jinlin University (Earth Science Edition), 2015, 45(2):495-506.

[8] 杨懿,姜在兴,张晓莉,等.大牛地气田盒3段致密储层控制因素及测井岩相研究[J].西北大学学报(自然科学版),2010,40(4):699-707. Yang Yi, Jiang Zaixing, Zhang Xiaoli, et al. Factors Controlling and Lithofacies Interpretation for Compacted Reservoirs in H3 Member of Daniudi Gas Field[J]. Journal of Northwest University (Natural Science Edition), 2010, 40(4):699-707.

[9] 高浩锋,张金功,罗文琴,等.砂岩、泥质岩和煤岩渗透率的研究[J].石油化工应用,2011,30(4):4-7. Gao Haofeng, Zhang Jingong, Luo Wenqin, et al. The Permeability Research of Sandstone, Argillaceous Rocks and Coal Rock[J]. Petrochemical Industry Application, 2011, 30(4):4-7.

[10] 杨建,陈家军,杨周喜,等.松散砂粒孔隙结构、孔隙分形特征及渗透率研究[J].水文地质工程地质,2008(3):93-98. Yang Jian, Chen Jiajun, Yang Zhouxi, et al. A Study of Pore Structure, Pore Fractal Feature and Permeability of Unconsolidated Sand[J]. Hydrogeology & Engineering Geology, 2008(3):93-98.

[11] 范宜仁,葛新民,汪海龙,等.非均质性砂砾岩储层渗透率预测方法研究[J].西南石油大学学报(自然科学版),2010,32(3):6-10. Fan Yiren, Ge Xinmin, Wang Hailong, et al. Study on the Method Predicting Permeability in the Heterogeneous Glutenite Reservoir[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2010, 32(3):6-10.

[12] 孙建孟,闫国亮.渗透率模型研究进展[J].测井技术,2012,36(4):329-335. Sun Jianmeng, Yan Guoliang. Review on Absolute Permeability Model[J]. Well Logging Technology, 2012, 36(4):329-335.

[13] 高磊.基于岩石物理相的酸性火山岩储层渗透率计算方法[J].石油仪器,2013(10):60-63. Gao Lei. The Method of Permeability Calculation of Acidic Volcanic Rocks Based on Petrophysical Phase[J]. Petroleum Instruments, 2013(10):60-63.

[14] 高华,吴洪深,张海荣.莺歌海盆地低孔渗储层测井相分类及渗透率评价方法研究[J].石油天然气学报,2013,35(7):87-92. Gao Hua, Wu Hongshen, Zhang Hairong. Yinggehai Basin Permeability of Low Permeability Reservoir Logging Facies Classification and Evaluation Method Study[J]. Journal of Oil and Gas Technology, 2013, 35(7):87-92.

[15] 邵维志,解经宇,迟秀荣,等.低孔隙度低渗透率岩石孔隙度与渗透率关系研究[J].测井技术,2013, 37(2):149-154. Shao Weizhi, Xie Jingyu, Chi Xiurong, et al. On the Relation of Porosity and Permeability in Low Porosity and Low Permeability Rock[J]. Well Logging Technology, 2013, 37(2):149-154.

相关文章 15

[1]	王振军. 油气储层裂缝预测进展[J]. 吉林大学学报(地球科学版), 2026, 56(2): 469-482.
[2]	黄玉龙, 张皓, 郭强, 陈昌. 低阻玄武岩的矿物学特征及其油气地质意义——以辽河坳陷古近系为例 [J]. 吉林大学学报(地球科学版), 2026, 56(2): 511-521.
[3]	周元发, 王腾飞, 周维维. 沉积型磷质岩粒度特征及其指示意义：以云南镇雄县羊场磷矿为例[J]. 吉林大学学报(地球科学版), 2025, 55(3): 758-774.
[4]	陈欢庆, 龚亮, 孙磊, 韩洁. 辽河盆地西部凹陷于楼油层高分辨率层序地层学[J]. 吉林大学学报(地球科学版), 2025, 55(3): 731-744.
[5]	乔科宇, 邹长春, 彭诚. 基于CIFLog软件的测井旋回地层学分析模块开发与应用 [J]. 吉林大学学报(地球科学版), 2025, 55(2): 686-696.
[6]	曹志民, 丁璐, 韩建, 郝乐川, . 基于集成机器学习的测井曲线大尺度差异超分辨 [J]. 吉林大学学报(地球科学版), 2025, 55(2): 670-685.
[7]	袁益龙, 唐佳伟, 李鹏, 何瑞敏, 郭强, 钟承昊. 热-力耦合作用下花岗岩粗糙裂隙渗透率演化规律[J]. 吉林大学学报(地球科学版), 2025, 55(1): 179-187.
[8]	郭刚, 李鑫, 韩雅坤, 李峰, 陈莹, 李林致. 东海盆地西湖凹陷平湖斜坡始新统平湖组成岩相类型及对储层的控制[J]. 吉林大学学报(地球科学版), 2024, 54(5): 1494-1505.
[9]	于霁怀, 介冬梅, 李平. 现代黄河三角洲沉积物粒度特征及其来源[J]. 吉林大学学报(地球科学版), 2024, 54(4): 1350-1361.
[10]	庞志超, 肖华, 毛晨飞, 陈国军, 梁琬坤, 高明, 张啸. 准噶尔盆地南缘地区含膏质地层岩性特征及测井识别方法[J]. 吉林大学学报(地球科学版), 2024, 54(4): 1419-1431.
[11]	冯若琦, 刘正伟, 孟越, 蒋丽婷, 韩作为, 刘林玉. 烃源岩有机碳测井预测模型优选及应用——以鄂尔多斯盆地安塞地区延长组长9为例 [J]. 吉林大学学报(地球科学版), 2024, 54(2): 688--700.
[12]	王新领, 祝新益, 张宏兵, 孙博, 许可欣. 基于随机树嵌入的随钻测井岩性识别方法 [J]. 吉林大学学报(地球科学版), 2024, 54(2): 701-708.
[13]	束龙仓, 栾佳文, 宫荣, 鲁程鹏, 丁峰, 陶月赞, 龚建师. 傍河地下水位监测断面的优化设计[J]. 吉林大学学报(地球科学版), 2023, 53(2): 555-.
[14]	丁磊, 陈殿远, 胡向阳, 张恒荣, 王一. 加速动态时间规整算法在测井曲线相似性度量中的改进及其应用[J]. 吉林大学学报(地球科学版), 2022, 52(6): 2042-2050.
[15]	张强, 李家金, 王毛毛, 唐湘飞. 基于改进主成分分析法的测井曲线岩性分层技术[J]. 吉林大学学报(地球科学版), 2022, 52(4): 1369-.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed