Modeling of fluvial reservoirs with object models

被引:135
作者
Holden, L [1 ]
Hauge, R [1 ]
Skare, O [1 ]
Skorstad, A [1 ]
机构
[1] Norwegian Comp Ctr, N-0314 Oslo 3, Norway
来源
MATHEMATICAL GEOLOGY | 1998年 / 30卷 / 05期
关键词
stochastic modeling; facies architecture; fluvial reservoir; seismic data; Metropolis-Hastings; simulated annealing;
D O I
10.1023/A:1021769526425
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
An object model for fluvial reservoirs that has been developed from 1985 to present is described. it uses a formal mathematical object model (marked point process) describing the distributions of four facies: channel, crevasse, barrier, and background. Realisations from the model are generated using the Metropolis-Hastings simulation algorithm with simulated annealing conditioning on the volume ratios and well observations. The main challenge has been to find a suitable parameterization of the geology of fluvial reservoirs, and to find and implement the generating function of the channels in the simulation algorithm. The model and simulation algorithm can be conditioned on arbitrary well paths including horizontal wells and paths with partly missing observations, well test data, well contacts, seismic data, and general geological knowledge.
引用
收藏
页码:473 / 496
页数:24
相关论文
共 30 条
[1]   STUDIES IN FLUVIATILE SEDIMENTATION - ELEMENTARY GEOMETRICAL MODEL FOR THE CONNECTEDNESS OF AVULSION-RELATED CHANNEL SAND BODIES [J].
ALLEN, JRL .
SEDIMENTARY GEOLOGY, 1979, 24 (3-4) :253-267
[3]  
[Anonymous], SCAND J STAT
[4]   DESCRIPTION AND INTERPRETATION OF FLUVIAL DEPOSITS - A CRITICAL PERSPECTIVE [J].
BRIDGE, JS .
SEDIMENTOLOGY, 1993, 40 (04) :801-810
[5]  
BRIDGE JS, 1979, SEDIMENTOLOGY, V26, P617, DOI 10.1111/j.1365-3091.1979.tb00935.x
[6]  
Clemetsen R., 1989, N SEA OIL GAS RESERV, VII, P373
[7]  
DAMSLETH E, 1990, 65 ANN TECHN C EXH S
[8]   PRACTICAL CONSIDERATIONS IN THE APPLICATION OF SIMULATED ANNEALING TO STOCHASTIC SIMULATION [J].
DEUTSCH, CV ;
COCKERHAM, PW .
MATHEMATICAL GEOLOGY, 1994, 26 (01) :67-82
[9]   Hierarchical object-based stochastic modeling of fluvial reservoirs [J].
Deutsch, CV ;
Wang, LB .
MATHEMATICAL GEOLOGY, 1996, 28 (07) :857-880
[10]  
DUBRULE O, 1993, QUANT GEO G, V5, P351