Oil & Gas Geology ›› 2016, Vol. 37 ›› Issue (4): 577-583.doi: 10.11743/ogg20160415

Previous Articles     Next Articles

Application of multiple-point geostatistics in 3D internal architecture modeling of point bar

Liu Keke1,2, Hou Jiagen1, Liu Yuming1, Shi Yanqing1, Liu Lin1,3, Tang Li1,4, Gao Xingjun5, Zhou Xinmao5   

  1. 1. College of Geosciences, China University of Petroleum(Beijing), Beijing 102249, China;
    2. Wireline Logging Company of Great Wall Drilling Company, PetroChina, Panjin, Liaoning 124011, China;
    3. Geology Research Institute of Great Wall Drilling Company, PetroChina, Panjin, Liaoning 124010, China;
    4. Exploration and Development Research Institute of Huabei Oilfield Company, PetroChina, Renqiu, Hebei, 062552, China;
    5. Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China
  • Received:2015-03-04 Revised:2016-06-20 Online:2016-08-08 Published:2016-09-06

Abstract: For the first time,an application of Multiple-point geostatistics in 3D internal architecture modeling of point bar is proposed in this paper.Data from dense well patterns (well spacing of 60 m) offer us the statistical distribution characteristics of interbeds within the point bar.Training images are produced by interactive processing of the statistical results for quantitative characterization of the interbeds,such as their thickness,dip,frequency,density and horizontal spacing.A typical point bar is first choosed for vertically projecting the interbeds interpreted from single well data to its top surface along the surfaces of interbeds,and then a 3D spinning cube is calculated in combination with the depositional patterns of the point bar for strike characterization of the interbeds.The Snesim algorithm is used for 3D architectural modeling of lateral accretion,and the results are compared with those from sequential indicator simulation (SIS).It is concluded that SIS may represent the characteristics of interbeds,but it is inadequate to characterize their continuity.Besides,a lack of constraints from training images forbids satisfactory quantitative characterization.In contrast,the model based on Snesim is under the dual control of training images and 3D spinning cube,thus it can quantitatively characterize the distribution,geometry and spatial structure of the interbeds.The data of watered-out reservoirs reveal that the architecture model built with multiple-point geostatistics method can guide the mapping of remaining oil.

Key words: training image, 3D spinning cube, dense well-pattern, multiple-point geostatistics, point bar, remaining oil residual

CLC Number: