Estudo integrado de análogo a reservatórios petrolíferos fluviais: caracterização, parametrização e modelagem tridimensional de depósitos recentes do Rio Assu (Rio Grande do Norte/Brasil)

This work shows a integrated study of modern analog to fluvial reservoirs of Açu Formation (Unit 3). The modern analog studied has been Assu River located in the same named city, Rio Grande do Norte State, Northeast of Brazil. It has been developed a new methodology to parameterizating the fluvial geological bodies by GPR profile (by central frequency antennas of 50, 100 and 200 MHz). The main parameters obtained were width and thickness. Still in the parameterization, orthophotomaps have been used to calculate the canal sinuosity and braided parameters of Assu River. These information are integrated in a database to supply input data in 3D geological models of fluvial reservoirs. It was made an architectural characterization of the deposit by trench description, GPR profile interpretation and natural expositions study to recognize and describe the facies and its associations, external and internal geometries, boundary surfaces and archtetural elements. Finally, a three-dimensional modeling has been built using all the acquired data already in association with real well data of a reservoir which Rio Assu is considered as analogous. Facies simulations have been used simple kriging (deterministic algorithm), SIS and Boolean (object-based, both stochastics). And, for modeling porosities have used the stochastic algorithm SGS

Desenvolvimento de marcadores microssatélites e estrutura genética espacial da Copernicia prunifera (Miller) H. E. Moore (Arecaceae)

The present study aimed to develop microsatellite markers (SSR) for Copernicia prunifera; and characterize the demographic pattern and the spatial genetic structure (SGS) in different development stages of C. prunifera in a natural population of Rio Grande do Norte (RN) by using ISSR molecular markers. 17 SSR primers pairs were developed, which were tested by using DNA from samples of different populations. The demographic and genetic spatial structure was assessed in a plot with an area of 0.55 ha, where all individuals were georeferenced. The molecular analyses with the use of microsatellite markers pointed out that all built primers pairs, when submitted to PCR, had amplification. They showed sizes of base pairs ranging between 113 and 250 bp. The demographic analyses showed a clustered standard of spatial distribution in the first distance classes, random between 40 and 50 m and segregated in higher distances. Eight ISSR primers were used, thereby producing a total of 102 loci, with 100 of them being polymorphic. Among the three stages, the young showed the highest Nei’s genetic diversity index (He = 0.37); whilst the lowest index was found in the reproductive adults (He = 0.34). The AMOVA results showed a greater genetic differentiation within the development stages (98.61%) in comparison to the interval among the stages (1.39%). The total population (n = 161) showed a positive and significant relationship of kinship in the first distance class (12.3 m). The young showed a significant kinship up to 10.5 m and negative in the fifth distance class (37.6 m). The non-reproductive adults had a positive relationship of kinship in the first distance class (11.0 m) and random distribution of genotypes in the remaining classes. The reproductive adults showed genotypes spatially distributed in a random way. The values for the genetic bottleneck tests proved that the number of loci with excess observed heterozygosity was greater than expected. The SGS results reflect the restricted dispersion of the species, and the bottleneck tests reflect the reduction genotypes provoked by the anthropization of natural environments of C. prunifera.