Discussion on the Method of Evaluating Oil and Water Layers by Using Ratio of Deep Resistivity and Flush Zone Resistivity
International Journal of Oil, Gas and Coal Engineering
Volume 7, Issue 1, January 2019, Pages: 7-12
Received: Nov. 10, 2018;
Accepted: Dec. 3, 2018;
Published: Jan. 21, 2019
Views 306 Downloads 56
Yang Kebing, Petro China Huabei Oilfield Company, Renqiu, China
Li Shidong, Petro China Huabei Oilfield Company, Renqiu, China
Wang Huijing, Petro China Huabei Oilfield Company, Renqiu, China
Fu Kang, Petro China Huabei Oilfield Company, Renqiu, China
Pan Xuefeng, Petro China Huabei Oilfield Company, Renqiu, China
Zhang Junjie, Petro China Huabei Oilfield Company, Renqiu, China
The depth-shallow resistivity ratio method for the same measuring point is an important method to identify oil and water reservoirs, But its application effect in conventional logging data is not good. By studying the invasion characteristics of resistivity curves of reservoirs, the ratio of deep resistivity and flush zone resistivity at the same measuring point is used to evaluate oil and water layers with a good effect. Further research shows that the ratio of deep resistivity to flushing zone resistivity can reflect the oil-bearing property of reservoir. The fact that the ratio of deep resistivity and flush zone resistivity of water layers in the same well is basically a constant supports this view, which can be deduced from Archie's formula. That is, the ratio of deep resistivity to flushing zone resistivity is Rw/Rmf, which is the ratio of formation water resistivity to mud filtrate resistivity. On this basis, a method of evaluating oil and water reservoir by using the ratio of deep resistivity and flush zone resistivity is proposed. One is logging crossplot evaluation method, the other is apparent water saturation calculation and evaluation method. These two methods are not affected by the changes of lithology and resistivity of the reservoir, and do not need data such as porosity, rock-electro parameters and formation water resistivity, which can quickly identify oil and water layers. As the ratio between the deep resistivity and the resistivity of the flush zone is not related to the resistivity of the reservoir, it can be used to evaluate the low resistivity oil reservoir. The results show that it is effective to identify low resistivity reservoirs and it is a reliable method to evaluate low resistivity reservoirs.
Discussion on the Method of Evaluating Oil and Water Layers by Using Ratio of Deep Resistivity and Flush Zone Resistivity, International Journal of Oil, Gas and Coal Engineering.
Vol. 7, No. 1,
2019, pp. 7-12.
Clavier, C. Theoretical and experimental bases for the dual-water model for interpretation of shaly sands [J]. Soc. Petr. Eng. J. 1984.24 (2): 153-168.
Hamada, G. M., Alawad, M. Petrophysical Evaluation of Low Resistivity Sandstone Reservoirs [J]. Journal of Canadian Petroleum Technology. 2000. 39 (7).
Myers, R. R., Batcheller, G., Phipps, S. Strategies for unraveling the mystery of low-resistivity pay zones [S]. 2005. SPE98061.
Llamosa, O., Hampton, D., Patiño, C. et al. Recognition and causes of low resistivity pay zones in cretaceous clastic reservoirs: acase study from an oilfield in Northern Llanos Basin, Colombia [S]. 2012. SPWLA 53rd Annual Logging Symposium, At Cartagena, Colombia.
Zhang Chengguang, Mao Zhiqiang, Ou yangjian. The New technique for evaluating water saturation of the "low resistivity" reservoir In J Field [S]. 1994. SPWLA 35th Annual Logging Symposium, 19-22, June, Tulsa, Oklahoma.
Hamada, G. M., Al-Blehed, M. S., Al-Awad, M. N. Determining petrophysical properties of low resistivity reservoirs using nuclear magnetic resonance logs [S]. 1999. SPE Annual Technical Conference and Exhibition, 3-6 October, Houston, Texas.
Koelman, J. M., Fanini, O. N., Kreigshauser, B. F. Enhanced evaluation of low-resistivity reservoirs using multi-component induction log data [J]. Society of Petrophysicists and Well-Log Analysts. 2001. 42 (6).
Archie G E. The electrical resistivity log as an aid in determining some reservoir characteristics [J]. Tnas Am Inst MechEng, 1942, 146: 54-61.
Poupon A, Loy M E, Tixer M P. A contribution to electric log interpretation in shaly sands [J]. IME, 1954, 201: 138-145.
Simandoux P. Dielectric measurements of porous media: Application to measurement of water saturations, study of the behavior of argillaceous formations [J]. Revue de L, Institut Franais du Petrole, 1963, 18 (S1): 193-215.
Hou Kefeng, Tian Min, Zhang Zhigang, et al. Fast identification method for gas and water layer in Sulige gasfield [J]. Journal of Chongqing University of Science and Technology (Natural Scinece Edition), 2017, 19 (2): 69-74.
Zhang Fengsheng, Sui Xiuying, Fang Guoqing. Fast identification techniques of reservoir and fluid properties in complex fault block with development of thin inter beds [J]. Well Logging Technology, 2018, 42 (2): 156-162.
Tan Tingdong. The log interpretation of the condensate gas reservoir [J]. Natural Gas Industry, 1987, 7 (1): 21-27.
Yang Hongming, Xie Li, Ma Jianhai, et al. On identifying low permeability flood reservoir with ratio of laterolog to induction resistivity [J]. Well Logging Technology, 2005, 29 (1): 51-53.
Li Changxi, Shi Yujiang, Zhou Cancan, et al. Evaluation of low amplitude and low resistivity pay zones under the fresh drilling mud invasion condition [J]. Petroleum Exploration and Development, 2010, 37 (6): 696-702.
Deng Shaogui, Sun Qingtao, Li Hu, et al. The sensitivity of the array resistivity log to mud filtrate invasion and its primary five-parameter inversion for improved oil water recognition [J]. Petroleum Science, 2012, 9 (6): 295-302.
Huang Ruokun, Qi tingting, Zhang Zhigang, et al. The application of identification method of asphalt sandstone reservoir liquid to the exploration of Tazhong Silurian [J]. Chinese Journal of Engineer Geophysics, 2017, 14 (1): 116-122.
Cheng Xi, Hui Chen, Lu Yunfeng, et al. Fluid evaluation technology for reservoirs controlled by structure and lithology: Taking CHN oilfield in Ordos Basin as an example [J]. Journal of Xi'an Shiyou University (Natural Science Edition), 2017, 32 (6): 29-43.
Dong Hong. Application of array induction logging data based on mud invasion dynamic model inidentification of reservoir fluid [J]. Journal of Yangtze University (Natural Scinece Edition), 2018, 15 (19): 31-36.
Yang Kebing, Yuan Xiaohong, Liu Mingbo, et al. Resistivity ratio method to evaluate oil-water layer [J]. Natural Gas Exploration & Development, 2015, 38 (1): 37-39.