Interpretação sísmica e análise de atributos - área do levantamento sísmico 3D de siririzinho (Bacia Sergipe-Alagoas, NE do Brasil)

The main objective of the present thesis was the seismic interpretation and seismic attribute analysis of the 3D seismic data from the Siririzinho high, located in the Sergipe Sub-basin (southern portion of Sergipe-Alagoas Basin). This study has enabled a better understanding of the stratigraphy and structure that the Siririzinho high experienced during its development. In a first analysis, we used two types of filters: the dip-steered median filter, was used to remove random noise and increase the lateral continuity of reflections, and fault-enhancement filter was applied to enhance the reflection discontinuities. After this filtering step similarity and curvature attributes were applied in order to identify and enhance the distribution of faults and fractures. The use of attributes and filtering greatly contributed to the identification and enhancement of continuity of faults. Besides the application of typical attributes (similarity and curvature) neural network and fingerprint techniques were also used, which generate meta-attributes, also aiming to highlight the faults; however, the results were not satisfactory. In a subsequent step, well log and seismic data analysis were performed, which allowed the understanding of the distribution and arrangement of sequences that occur in the Siririzinho high, as well as an understanding of how these units are affected by main structures in the region. The Siririzinho high comprises an elongated structure elongated in the NS direction, capped by four seismo-sequences (informally named, from bottom to top, the sequences I to IV, plus the top of the basement). It was possible to recognize the main NS-oriented faults, which especially affect the sequences I and II, and faults oriented NE-SW, that reach the younger sequences, III and IV. Finally, with the interpretation of seismic horizons corresponding to each of these sequences, it was possible to define a better understanding of geometry, deposition and structural relations in the area.

Determinação da distribuição de um nível de turbidito na formação Macaé no campo de Namorado através de uso de atributos sísmicos

This study was developed on the basis of petrophysics characterization, 3D seismic interpretation, and rock-wire-log integration. The results were integrated with amplitude attribute through cross plot (rock attribute x amplitude value). 3D seismic data also allowed inteipreting the top of Lagoa Feia, Macaé, and Carapebus formations, and Outeiro Member. The analyses of the maps of structures and attributes, integrated with wire-log data, suggest that Namorado turbidite level is candidate to be mapped with stratigraphic attributes like AverageTroughAmplitude, RMS velocity and Total AbsoluteAmplitude. Lagoa Feia Formation attribute maps (Dip-Azimuth and TotalEnergy) allows to interpret a low fault density at the carbonate coquina level in the Namorado field. This level is also considered one at the best seismic reflector and an important reservoir of the Campos Basin.

Estudo da porção offshore da bacia do Benin e o seu potencial no armazenamento de hidrocarbonetos, margem equatorial africana

Pós-graduação em Geologia Regional - IGCE

Modelo tectono-estrutural dos campos de petróleo Namorado, Cherne e Albacora

The main goal in this research is a tectono-estructural characterization of the Cherne, Albacora and Namorado Fields, located at Campos Basin, in order to investigate the relationship between the geologic evolution and the rock´s physical properties of the reservoir, and how they affect the hydrocarbon accumulation in those fields. Well correlations show that the inferior turbidites have a regional lateral continuity. Basic petrophysics analysis, calculated here, shows that the three fields present porosity values that range from 15 to 20%, shale volume range from 26 to 30% and formation water saturation range from 23 to 45%, based on formation water resistivity dada from Albacora Field. Petrophysics maps feature a trend in Albacora Field that increase the porosity values to SE, and in Cherne and Namorado Field the trend increase towards N. Seismic horizons where interpreted between the first appearance of the Namorado Sandstone and the top of Quissamã Formation. This interval presents normal listric faulting, in Cherne and Namorado Field with NWSE and NE-SW direction, and sedimentation trend to NW-SE, in Albacora Field the faulting presents a NNE-SSW and N-S direction, with a sedimentation trend to NE-SW. Seismic attribute maps present amplitude anomalies close to the producing wells, and on Namorado Field, it indicates a potential hydrocarbon accumulation in the NE region. For each field is indicated laboratory tests for a better characterization of the petrophysical properties, since that they don’t form the same reservoir level, therefore, not influencing the water saturation calculation

Caracterização dos reservatórios do grupo Macaé no Campo de Garoupa - Bacia de Campos - por meio de interpretação sísmica e perfis de poço

The study area is the Garoupa Field, located 75 km from the coast of Rio de Janeiro in bathymetric elevation of 125 m and it is the first important offshore discovery of the Campos Basin with hydrocarbon production in the Albian carbonates. The high significance of carbonate rock reservoirs for the global oil industry and its degree of complexity, combined with the fact that the Garoupa Field is a mature field, make this research project interesting to develop a re-exploratory vision of the study area. The objective of this paper is to characterize the physical properties of the Macae Group reservoirs in the Garoupa Field through well correlation techniques, petrophysical analysis and seismic interpretation (3D), in order to evaluate qualitatively and quantitatively the response of geophysical data to the presence of carbonate rock reservoirs. From the analysis of well profiles (gamma ray, resistivity, density and sonic) it was possible to identify six reservoir levels in the Quissamã Formation. As a result, the reservoirs have good correlation between the wells in the Garoupa Field and show lateral facies variation. In the seismic interpretation, structural contour maps were generated in time (ms) from the top of the Macae Group and two horizons that correspond to the reservoir levels. These maps show that the oil producing area of this field is a structural high located at the west of the interpreted seismic cube, and it was classified as a rollover limited by lateral faults forming a horst. The seismic attribute maps show a good response to the reservoirs of the Garoupa Field because they are associated with amplitude anomalies, verified by the correlation between the physical properties of the reservoir rock and seismic data through cross plots, with emphasis in a linear correlation between the resistivity profile and the values of Maximum Absolute Amplitude and RMS Amplitude attributes

Análise das respostas de atributos sísmicos dos carbonatos barremiano, albiano e neógeno no campo de Bonito, bacia de Campos - RJ

The Bonito oil field, located on southwest of Campos Basin-RJ, has been explored since 1982. The main reservoir is composed by calcarenites of Quissamã Formation (Macaé Group) from Albian, but two other carbonate levels are present on the field, firsts is Coqueiros Formation (Aptian) and the second Siri Member (Oligo-Miocene). In this context and considering that carbonates reservoirs are a challenge for exploratory geoscientists, since the difficulty on recognize the effective reservoir distribution. This work aim to characterize the geophysical/geological facies based on seismic attributes responses, related to reservoir geometrical distribution, for the tree carbonates intervals on Bonito oil Field. A tree dimensional interpretation of the levels has been developed, based on well cross correlation and a 3D seismic interpretation, resulting on the stratigraphic and structural framework of the field, which showed a NE-SW fault trend controlling the Aptian carbonates reservoirs, and halocnetics structures showing a structural trap on Albian carbonates reservoirs. The definition of the structural/ stratigraphic framework possibly the seismic attributes calculations over the reservoir intervals. To select the best response in comparison with the reservoir distribution, obtained by seismic interpretation, the attributes response were compared with isopachs maps of each carbonate stratigraphic level. The attributes Maximum Amplitude, Maximum Magnitude and Rms Amplitude showed a good answer to reservoir distribution. The Rms Amplitude also showed a good correlation with physical rock properties, like RHOB bulk density, for the Albian and Aptian carbonates, as consequence it is possible make a characterization of reservoir distribution based on seismic attribute answer

A fuzzy multi-criteria decision approach for enhanced auto-tracking of seismic events

The main activity carried out by the geophysicist when interpreting seismic data, in terms of both importance and time spent is tracking (or picking) seismic events. in practice, this activity turns out to be rather challenging, particularly when the targeted event is interrupted by discontinuities such as geological faults or exhibits lateral changes in seismic character. In recent years, several automated schemes, known as auto-trackers, have been developed to assist the interpreter in this tedious and time-consuming task. The automatic tracking tool available in modem interpretation software packages often employs artificial neural networks (ANN's) to identify seismic picks belonging to target events through a pattern recognition process. The ability of ANNs to track horizons across discontinuities largely depends on how reliably data patterns characterise these horizons. While seismic attributes are commonly used to characterise amplitude peaks forming a seismic horizon, some researchers in the field claim that inherent seismic information is lost in the attribute extraction process and advocate instead the use of raw data (amplitude samples). This paper investigates the performance of ANNs using either characterisation methods, and demonstrates how the complementarity of both seismic attributes and raw data can be exploited in conjunction with other geological information in a fuzzy inference system (FIS) to achieve an enhanced auto-tracking performance.

Seismic observations of regional gas blowdown at Teal South

A re-examination of seismic time-lapse data from the Teal South field provides support for a previously proposed model of regional pressure decline and the associated liberation of gas from nearby reservoirs due to the production from the only reservoir among them that is under production. The use of a specific attribute, instantaneous amplitude, and a series of time slices, however, provides increased detail in understanding fluid migration into or out of the reservoirs, and the path taken by pressure changes across faults. The regional decrease of pressure due to production in one reservoir has dramatic effects in nearby untapped reservoirs, one of which appears to exhibit evidence for the escape, and possible re-trapping nearby, of hydrocarbons from a spill point. The influx of water into the producing reservoir is also evidenced by a decrease in amplitude at one end of the oil-water contact.

USING AUTO- AND CROSS-CORRELATIONS FROM SEISMIC NOISE TO MONITOR VELOCITY CHANGES AT VILLARRICA VOLCANO, CHILE

We used the Green's functions from auto-correlations and cross-correlations of seismic ambient noise to monitor temporal velocity changes in the subsurface at Villarrica volcano in the Southern Andes of Chile. Campaigns were conducted from March to October 2010 and February to April 2011 with 8 broadband and 6 short-period stations, respectively. We prepared the data by removing the instrument response, normalizing with a root-mean-square method, whitening the spectra, and filtering from 1 to 10 Hz. This frequency band was chosen based on the relatively high background noise level in that range. Hour-long auto- and cross-correlations were computed and the Green's functions stacked by day and total time. To track the temporal velocity changes we stretched a 24 hour moving window of correlation functions from 90% to 110% of the original and cross correlated them with the total stack. All of the stations' auto-correlations detected what is interpreted as an increase in velocity in 2010, with an average increase of 0.13%. Cross-correlations from station V01, near the summit, to the other stations show comparable changes that are also interpreted as increases in velocity. We attribute this change to the closing of cracks in the subsurface due either to seasonal snow loading or regional tectonics. In addition to the common increase in velocity across the stations, there are excursions in velocity on the same order lasting several days. Amplitude decreases as the station's distance from the vent increases suggesting these excursions may be attributed to changes within the volcanic edifice. In at least two occurrences the amplitudes at stations V06 and V07, the stations farthest from the vent, are smaller. Similar short temporal excursions were seen in the auto-correlations from 2011, however, there was little to no increase in the overall velocity.

Innovation as a Meta-Attribute for Graduate Engineers

This paper reviews the attitudes, skills and knowledge that engineering innovators should possess. It critically analyses and compares sets of graduate attributes from the USA, Australia and Malaysia in terms of which of these relate to the ability to innovate. Innovation can be described as an integrative, meta attribute that overarches most of the other graduate attributes. Due to the “graduate attribute paradox”, it is shown how meeting the stated attributes of graduates by industry does not necessarily satisfy the requirements of industry. It is argued that the culture of the engineering school is an important influence on fostering innovation in engineers.

Integrating attribute and space characteristics in choropleth display and spatial data mining

This paper develops an interactive approach for exploratory spatial data analysis. Measures of attribute similarity and spatial proximity are combined in a clustering model to support the identification of patterns in spatial information. Relationships between the developed clustering approach, spatial data mining and choropleth display are discussed. Analysis of property crime rates in Brisbane, Australia is presented. A surprising finding in this research is that there are substantial inconsistencies in standard choropleth display options found in two widely used commercial geographical information systems, both in terms of definition and performance. The comparative results demonstrate the usefulness and appeal of the developed approach in a geographical information system environment for exploratory spatial data analysis.

Accelerating seismic energy release and evolution of event time and size statistics: Results from two heterogeneous cellular automaton models

The evolution of event time and size statistics in two heterogeneous cellular automaton models of earthquake behavior are studied and compared to the evolution of these quantities during observed periods of accelerating seismic energy release Drier to large earthquakes. The two automata have different nearest neighbor laws, one of which produces self-organized critical (SOC) behavior (PSD model) and the other which produces quasi-periodic large events (crack model). In the PSD model periods of accelerating energy release before large events are rare. In the crack model, many large events are preceded by periods of accelerating energy release. When compared to randomized event catalogs, accelerating energy release before large events occurs more often than random in the crack model but less often than random in the PSD model; it is easier to tell the crack and PSD model results apart from each other than to tell either model apart from a random catalog. The evolution of event sizes during the accelerating energy release sequences in all models is compared to that of observed sequences. The accelerating energy release sequences in the crack model consist of an increase in the rate of events of all sizes, consistent with observations from a small number of natural cases, however inconsistent with a larger number of cases in which there is an increase in the rate of only moderate-sized events. On average, no increase in the rate of events of any size is seen before large events in the PSD model.

Laser-derived particle size data from CRP-3, Victoria Land Basin, Antarctica: Implications for sequence and seismic stratigraphy

Seven hundred and nineteen samples from throughout the Cainozoic section in CRP-3 were analysed by a Malvern Mastersizer laser particle analyser, in order to derive a stratigraphic distribution of grain-size parameters downhole. Entropy analysis of these data (using the method of Woolfe and Michibayashi, 1995) allowed recognition of four groups of samples, each group characterised by a distinctive grain-size distribution. Group 1, which shows a multi-modal distribution, corresponds to mudrocks, interbedded mudrock/sandstone facies, muddy sandstones and diamictites. Group 2, with a sand-grade mode but showing wide dispersion of particle size, corresponds to muddy sandstones, a few cleaner sandstones and some conglomerates. Group 3 and Group 4 are also sand-dominated, with better grain-size sorting, and correspond to clean, well-washed sandstones of varying mean grain-size (medium and fine modes, respectively). The downhole disappearance of Group 1, and dominance of Groups 3 and 4 reflect a concomitant change from mudrock- and diamictite-rich lithology to a section dominated by clean, well-washed sandstones with minor conglomerates. Progressive downhole increases in percentage sand and principal mode also reflect these changes. Significant shifts in grain-size parameters and entropy group membership were noted across sequence boundaries and seismic reflectors, as recognised in others studies.