|
|
|
| Research on the genesis and identification of low resistivity gas reservoirs in unconsolidated sandstone gas reservoirs:A case study of the Sebei gas field,Qaidam Basin |
| Duan-Yang GU1, Wen-Bo DOU2, Fu-Shou DING3, Li YAN3, Hao LYU3 |
1. Exploration and Development Research Institute of Qinghai Oilfield Branch of CNPC,Dunhuang 736202,China
2. The 11th Oil Production Plant of Changqing Oilfield Branch Petrochina,Qingyang 745000,China
3. No.3 Oil Production Plant of Qinghai Oilfield Branch Petrochina,Mangya 816400,China |
|
|
|
|
Abstract The Sebei gas field is a Quaternary Huxiang sedimentary biogas reservoir with shallow burial and poor diagenesis.The reservoir has "four highs" background of "high porosity,high salinity,high clay content,and high conductivity of (yellow/magnetic) iron ore".A low gas barrier layer and a special ultra-low gas barrier layer were formed.Based on the electrical response characteristics of the low-resistance gas layer logging curve,the authors studied its spatial distribution and its influence on production characteristics,and made a mechanism analysis of the low-resistance gas layer.The results are as follows:First,geological backgrounds such as high porosity,high salinity,and high clay content are the main factors leading to the low resistivity of the gas layer in the Sebei gas field,and the thin interbeds of sand and mudstone also have a certain effect;Second,the existence of special conductive minerals is the direct factor responsible for the abnormal low-resistance gas layer;Third,the natural gamma-resistance intersection method can effectively identify the low-resistance gas layer formed by geological background and reservoir characteristics;as for lateral and induction logging,the double-resistance cross section improves the recognition effect of thin sand bodies;Fourth,on the basis of fine logging interpretation,it seems that strengthening the study of the planar distribution of iron ore layers and using dynamic methods to form plane monitoring by means of gas testing can improve the precision of the interpretation of low-resistance gas layers.
|
|
Received: 19 January 2020
Published: 24 June 2020
|
|
|
|
|
|
|
Logging response characteristics of Se X2 gas well
|
|
Logging response characteristics of special mineral intervals in Se 2-XX gas well
|
|
Relationship between the capacity of producing gas and water-gas ratio of the single sand bodies in its initial stage of production
|
|
The application of lithology electrical property rendezvous method are used to identify the gas zone and the water invasion zone in Se X-33 gas well
|
|
Logging response characteristics of the low resistivity gas zone in production testing
|
| [1] |
吴锡令. 生产测井原理[M]. 北京: 石油工业出版社, 1997.
|
| [1] |
Wu X L. Production logging principle[M]. Beijing: Petroleum Industry Press, 1997.
|
| [2] |
洪有密. 测井原理与综合解释[D]. 东营:中国石油大学, 2007.
|
| [2] |
Hong Y M. Logging principle and comprehensive interpretation[D]. Dongying:China University of Petroleum, 2007.
|
| [3] |
郭海敏, 戴家才, 陈科贵. 生产测井原理与资料解释[M]. 北京: 石油工业出版社, 2007.
|
| [3] |
Guo H M, Dai J C, Chen K G. Production logging principle and data interpretation[M]. Beijing: Petroleum Industry Press, 2007.
|
| [4] |
吴都. 致密砂岩储层参数测井方法综合评价与研究[D]. 武汉:长江大学, 2012.
|
| [4] |
Wu D. Comprehensive evaluation and research on logging method of tight sandstone reservoir parameters[D]. Wuhan:Yangtze University, 2012.
|
| [5] |
严焕德, 王天祥, 赵为永, 等. 涩北气田高阻水层成因及其对储层参数的影响[J]. 青海石油, 2009,27(2):55-57.
|
| [5] |
Yan H D, Wang T X, Zhao W Y, et al. Genesis of high-resistivity water layer in Sebei gas field and its influence on reservoir parameters[J]. Qinghai Petroleum, 2009,27(2):55-57.
|
| [6] |
左银卿, 刘炜, 袁路波, 等. 含黄铁矿低电阻率储层测井评价技术[J]. 测井技术, 2007,31(1):25-29.
|
| [6] |
Zuo Y Q, Liu W, Yuan L B, et al. Logging evaluation techinique for low resistivity reservior Containing Pyrite[J]. Well Logging Technolocy, 2007,31(1):25-29.
|
| [7] |
张兆辉, 高楚桥, 高永德. 孔洞型储层有效性评价新方法[J]. 天然气地球科学, 2013,24(3):529-533.
|
| [7] |
Zhang Z H, Gao C Q, Gao Y D. New method for effectiveness evaluation of Vuggy Reservior[J]. Nature Gas Geoscience., 2013,24(3):529-533.
|
| [8] |
Donaldson E C, Chernoglazov V. Characterization of drilling mud fluid invasion[J]. Journal Petroleum Science and Engineering, 1987.
|
| [9] |
Edmondson H N. Archie's law:Electrical conduction in cleare,water-bearing rock[J]. The Technical Review, 1988,36(3):4-13.
|
| [10] |
徐静, 杨俊龙, 饶辰威, 等. 苏里格气田西区上古生界低阻气层成因分析[J]. 科学技术与工程, 2012,12(30):7832-7835.
|
| [10] |
Xu J, Yang J L, Rao C W, et al. Analysis on the causing mechanism of low resistivity gas zone of Neopaleozioc in the west of Sulige Gasfiled[J]. Science Technology and Engineering, 2012,12(30):7832-7835.
|
| [11] |
段新国, 衡勇, 王洪辉, 等. 苏里格气田南区上古气藏低阻气层形成机理[J]. 成都理工大学学报:自然科学版, 2015,42(4):427-434.
|
| [11] |
Duan X G, Heng Y, Wang H H, et al. Genetic mechanism of Upper Paleozoic low-resistibity gas reservoirs in South of Sulige Gas field[J]. Journal of Chengdu University of Technology:Science &Technology Edition, 2015,42(4):427-434.
|
| [12] |
李鹏举, 李勇勇, 徐茂河, 等. 地层水矿化度对补偿中子测井影响的自动校正方法研究[J]. 物探与化探, 2019,43(4):815-821.
|
| [12] |
Li P J, Li Y Y, Xu M H, et al. Research on automatic correction method of influence of formation water Salinity on compensating neutron logging[J]. Geophysical and Geochemical Exploration, 2019,43(4):815-821.
|
| [13] |
赵军, 邓婷, 刘兴礼, 等. 吉拉克油田三叠系低阻油层识别方法[J]. 特种油气藏, 2011(2):25-27.
|
| [13] |
Zhao J, Deng T, Liu X L, et al. Identification of the Triassic low resistivity reservoirs in the Jilake oilfield[J]. Special Oil and Gas Reserviors, 2011(2):25-27.
|
| [14] |
张颖, 杨丽丽, 陈木银, 等. 阵列感应侵入因子法与声波—电阻率交会图相结合识别镇北地区延安组低阻油层[J]. 西安石油大学学报:自然科学版, 2014,29(3):8-15.
|
| [14] |
Zhang Y, Yang L L, Chen M Y, et al. Identification of low-resistivity of Yan'an Formation in Zhenbei area by combining array induction invasive factor method with interval transit time-resistivity cross-plot[J]. Journal of Xi'an Shiyou University:Natural Science Edition, 2014,29(3):8-15.
|
| [15] |
高媛, 吴少波, 王琛, 等. 马岭油田BS区延10油藏水淹层测井响应特征分析[J]. 西安石油大学学报:自然科学版, 2014,29(3):27-31.
|
| [15] |
Gao Y, Wu S B, Wang C, et al. Logging response characteristics analysis of water-flooded layer of Yan 10 reservoir in BS area of Maling Oilfield[J]. Journal of Xi'an Shiyou University:Natural Science Edition, 2014,29(3):27-31.
|
| [16] |
孙永涛. 利用测井资料定性识别水淹层的交会图方法[J]. 大庆石油地质与开发, 2014,33(2):161-164.
|
| [16] |
Sun Y T. Crossplot method to qualitatively recognize the watered-out reservoir by the well logging data[J]. Petroleum Geology & Oilfield Development in Daqing, 2014,33(2):161-164.
|
| [17] |
陈淑芹, 许春艳, 赵虹, 等. 常规测井水淹层综合识别方法研究[J]. 科技资讯, 2011(9):54-55.
|
| [17] |
Chen S Q, Xu C Y, Zhao H, et al. Research on comprehensive identification method of conventional logging water Flooded Layer[J]. Science & Technology Information, 2011(9):54-55.
|
| [18] |
Head E, Cannon D, Allen D, et al. Quantitative invasion description[C]// SPWLA 33rd Annual Logging Symposium, 1992: 1-20.
|
| [19] |
Prammer M G, Bouton J C, Chandler R N, et al. A new multiband generation of NMR logging tools[J]. Spe Reservoir Evaluation & Engineering, 2001,4(1):59-63.
|
| [20] |
Barber T D R A. Using a multiarray induction Tllo to achieve high-resolution logs with minnimum environmental Effect[C]// SPE 22725 1991.
|
|
|
|
