Multi-Point Geostatistical Sedimentary Facies Modeling Based on Three-Dimensional Training Images

2020 ◽  
Vol 7 (1) ◽  
pp. 37-53
Author(s):  
Jun Xie ◽  
◽  
Tianqi Zhang ◽  
Xiao Hu ◽  
Shichao Wang ◽  
...  
2019 ◽  
Vol 7 (2) ◽  
pp. T265-T282 ◽  
Author(s):  
Katelynn M. Smith ◽  
John H. McBride ◽  
Stephen T. Nelson ◽  
R. William Keach ◽  
Samuel M. Hudson ◽  
...  

Pilot Valley, located in the eastern Basin and Range, Western Utah, USA, contains numerous shorelines and depositional remnants of Late Pleistocene Lake Bonneville. These remnants present excellent ground-penetrating radar (GPR) targets due to their coherent stratification, low-clay, low-salinity, and low moisture content. Three-dimensional GPR imaging can resolve fine-scale stratigraphy of these deposits down to a few centimeters, and when combined with detailed outcrop characterization, it provides an in-depth look at the architecture of these deposits. On the western side of Pilot Valley, a well-preserved late Pleistocene gravel bar records shoreline depositional processes associated with the Provo (or just post-Provo) shoreline period. GPR data, measured stratigraphic sections, cores, paleontological sampling for paleoecology and radiocarbon dating, and mineralogical analysis permit a detailed reconstruction of the depositional environment of this well-exposed prograding gravel bar. Contrary to other described Bonneville shoreline deposits, calibrated radiocarbon ages ranging from 16.5 to 14.3 (ka, BP) indicate that the bar was stable and active during an overall regressive stage of the lake, as it dropped from the Provo shoreline (or just post-Provo level). Our study provides a model for an ancient pluvial lakeshore depositional environment in the Basin and Range province and suggests that stable, progradational bedforms common to the various stages of Lake Bonneville are likely not all associated with periods of shoreline stability, as is commonly assumed. The high-resolution GPR visualization demonstrates the high degree of compartmentalization possible for a potential subsurface reservoir target based on ancient shoreline sedimentary facies.


The Holocene ◽  
2020 ◽  
Vol 30 (6) ◽  
pp. 820-833 ◽  
Author(s):  
Erica Corradini ◽  
Dennis Wilken ◽  
Marco Zanon ◽  
Daniel Groß ◽  
Harald Lübke ◽  
...  

We investigate the landscape development of the early Mesolithic hunter-gatherer sites of Duvensee (10000–6500 cal. BCE). Based on ground-penetrating radar (GPR) and geoarchaeological drillings, we present for the first time a three-dimensional (3D) reconstruction of the palaeoenvironment of 63 ha covering subarea of the former lake during the Mesolithic. The archaeological aims were (1) to detect the location of former islands possibly hosting hunter-gatherer settlements and (2) to reconstruct the ancient landscape development for understanding prehistoric land use. The research in Duvensee lasts almost 100 years, providing vivid illustrations of early Mesolithic life. Clusters of Mesolithic camps have been found located on small sand hills that formed islands in the prehistoric lake. For this environment, we present depth maps of the three most important sedimentary facies interfaces of the ancient Lake Duvensee. Interface1 represents the transition between coarse organic sediments (peat and coarse detritus gyttja) and fine-grained organic sediments (fine detritus gyttja, calcareous gyttja), Interface2 represents the transition to the underlying clayish-loamy sediments, and Interface3 marks the top of the basal sand deposits at the lake bottom. From Interface3, we identified the location and extent of five former islands with Mesolithic camps. Stratigraphic information from the corings enabled us to create a 3D model of the spatio-temporal development of the Duvensee bog. The locations of the islands and their estimated dive-up times agree with the spatio-temporal pattern of the previous archaeological finds. The model shows where hunter-gatherers could settle and move from one island to another following the shorelines of the overgrowing lake. The 3D stratigraphic model provides growth and shrinking rates of the island and lake areas in the Mesolithic, and volumes of organic and non-organic deposited lake sediments. Besides, it provides a basis for a sustainable groundwater management needed for heritage preservation.


2018 ◽  
Vol 9 (5) ◽  
pp. 932
Author(s):  
SorinVadim M. ALEKSANDROV ◽  
Alexander V. MOROZOV ◽  
Ivan P. POPOV ◽  
Rushania G. LEBEDEVA ◽  
Irina A. BULGAKOVA

The detailed characterization of the environmental conditions of sedimentation of the  productive formation makes it possible to refine the features of the geological structure. The authors carried out a detailed lithologic-facial analysis of the deposits of the Yu12 productive formation at one of the deposits located in the southeastern part of the West Siberian oil and gas basin. Detailed lithologic-facial schemes were constructed that reflect the spatial distribution of the main permeable bodies, considering the forecast of the distribution of promising reservoir rocks in zones not covered by drilling. The well test results confirm the adopted model of sedimentary facies distribution over the area of the deposit. The proposed conceptual model was used to construct a three-dimensional facial model of the deposit. Thus, a detailed lithologic-facial analysis of the core and forms of the GIS curves showed that deposits of the  stack accumulated in coastal-marine sedimentation environments – "marshes" and "watts", repeatedly replacing each other vertically.


2013 ◽  
Vol 442 ◽  
pp. 489-493 ◽  
Author(s):  
Jin Shui Liu ◽  
Xue Li ◽  
Jin Laing Zhang ◽  
Cun Lei Li

Geological body is the product of the geological evolution in the time dimension and is also the record and the process of structural changes and sequence changes presenting in 3D configuration, so 3D visualization for sedimentary-facies modeling can results in a large quantity of spatial data which can be used for detailed sedimentary-facies modeling. Lishui Depression is taken for an example and the lower of Mingyuefeng Formation is the target formation for this study. Based on the analysis of sequence cycles and sedimentary environment and interpretation of 3D geological objects, the detailed 3D sedimentary-facies model for the lower Mingyuefeng Formation is built with Sequential Indicator Simulation. Then the 3D visualization of local sedimentary-facies is detailedly presented through fence models and profile models. The results prove that the methodology is competent for 3D modeling and self-adaptive visualization of large geological objects and it is a good way to solve the problem of integration and share of geological spatial data.


2013 ◽  
Vol 718-720 ◽  
pp. 377-382
Author(s):  
Chen Qiang Dong ◽  
Xue Li

Reservoir microfacies is an important factor affecting the reservoir heterogeneity, and it is significant to accurately predict reservoir microfacies distribution in order to improve oil and gas recovery. The stochastic reservoir modeling method has a strong geological suitability. The reasonable choice of the stochastic modeling method can effectively improve the accuracy of modeling. During the sedimentary facies modeling, sequence indicator simulation is used to characterize the spatial distribution of different microfacies with different variogram,to reproduce the complex microfacies spatial distribution.


2014 ◽  
Vol 50 (10) ◽  
pp. 7731-7749 ◽  
Author(s):  
Sanjeev Kumar Jha ◽  
Alessandro Comunian ◽  
Gregoire Mariethoz ◽  
Bryce F. J. Kelly

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4082
Author(s):  
Yiming Yan ◽  
Liqiang Zhang ◽  
Xiaorong Luo

Reservoir heterogeneity is a key geological problem that restricts oil and gas exploration and development of clastic rocks from the early to late stages. Existing reservoir heterogeneity modeling methods such as multiple-point geostatistics (MPS) can accurately model the two-dimensional anisotropic structures of reservoir lithofacies. However, three-dimensional training images are required to construct three-dimensional reservoir lithofacies anisotropic structures models, and the method to use reservoir heterogeneity model of fewer-dimensional to obtain a three-dimensional model has become a much-focused research topic. In this study, the outcrops of the second member of Qingshuihe Formation (K1q2) in the northwestern margin of the Junggar Basin, which are lower cretaceous rocks, were the research target. The three-dimensional reservoir heterogeneity model of the K1q2 outcrop was established based on the unmanned aerial vehicle (UAV) digital outcrops model and MPS techniques, and the “sequential two-dimensional conditioning data” (s2Dcd) method was modified based on a sensitivity parameter analysis. Results of the parametric sensitivity analysis revealed that the isotropic multigrid simulations demonstrate poor performance because of the lack of three-dimensional training images, conditioning data that are horizontally discrete and vertically continuous, and distribution of lithofacies that are characterized by large horizontal continuities and small thicknesses. The reservoir lithofacies anisotropic structure reconstructions performed well with anisotropic multigrids. The simulation sequence of two-dimensional surfaces for generating the three-dimensional anisotropic structure of reservoir lithofacies models should be reasonably planned according to the actual geological data and limited hard data. In additional to this, the conditional probability density function of each two-dimensional training image should be fully utilized. The simulation results using only one two-dimensional section will have several types of noises, which is not consistent with the actual geological background. The anisotropic multigrid simulations and two-dimensional training image simulation sequence, proposed in this paper as “cross mesh, refinement step by step”, effectively reduced the noise generated, made full use of the information from the two-dimensional training image, and reconstructed the three-dimensional reservoir lithofacies anisotropic structures models, thus conforming to the actual geological conditions.


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