28 research outputs found
Fold and thrust belts : structural style, evolution and exploration – an introduction
Peer reviewedPublisher PD
Similarities and differences in the dolomitization history of two coeval Middle Triassic carbonate platforms, Balaton Highland, Hungary
Dolomitization of platform carbonates is commonly the result of multiphase processes. Documentation of the complex dolomitization history is difficult if completely dolomitized sections are studied. Two Middle Anisian sections representing two coeval carbonate platforms were investigated and compared in the present study. Both sections are made up of meter-scale peritidal–lagoonal cycles with significant pedogenic overprint. One of the sections contains non-dolomitized, partially dolomitized, and completely dolomitized intervals, whereas the other is completely dolomitized. Based on investigations of the partially dolomitized section, penecontemporaneous dolomite formation and/or very early post-depositional dolomitization were identified in various lithofacies types. In shallow subtidal facies, porphyrotopic dolomite was found preferentially in microbial micritic fabrics. Microbially induced dolomite precipitation and/or progressive replacement of carbonate sediments could be interpreted for stromatolites. Cryptocrystalline to very finely crystalline dolomite, probably of pedogenic origin, was encountered in paleosoil horizons. Fabric-destructive dolomite commonly found below these horizons was likely formed via reflux of evaporated seawater. As a result of the different paleogeographic settings of the two platforms, their shallow-burial conditions were significantly different. One of the studied sections was located at the basinward platform margin where pervasive fabric-retentive dolomitization took place in a shallow-burial setting, probably via thermal convection. In contrast, in the area of the other, smaller platform shallow-water carbonates were covered by basinal deposits, preventing fluid circulation and accordingly pervasive shallow-burial dolomitization. In the intermediate to deep burial zone, recrystallization of partially dolomitized limestone and occlusion of newly opened fractures and pores by coarsely crystalline dolomite took place
Mesozoic and Cenozoic carbonates of the Neo-Tethys: old and new concepts for petroleum exploration. AAPG Europe meeting
NEW PERSPECTIVE FOR THE EVALUATION OF UNDEVELOPED PARTS OF A JURASSIC CARBONATE FIELD IN THE MEDITERRANEAN SEA: AN INTEGRATED APPROACH TO DATA
Geometric Characterization of the Fracture and Karst Networks in a Cretaceous Platform Carbonate Sequence of the Tethys Using the Ground Penetrating Radar
Can Image Logs Be Interpreted Using Artificial Intelligence Techniques? A Supervised Test over Two FMI Borehole Logs
Image logs held important information of the subsurface sequences. They can provide not only
information about bedding and fault/fracture spatial distribution and characteristics but they can also
supply insight on the rock texture, textural organisation and porosity types and distribution. In order to
reduce the subjectivity of the interpretation and cut the interpretation time we tested a new semi-automatic
process for image log interpretation and extraction of the main characteristics of the image/formation. This
approach uses image processing algorithms and artificial intelligence techniques to analyze and to classify
borehole images. The final results of the process is a series of image facies that are identified along the
image log and that can be calibrated using cores to sedimentary facies to assign them a geological
meaning.
In this study the image log from one well was processed using this method to identify different rock facies
to be compared with those identified by the log interpreter. The results of this study are encouraging
because up to 75% of automatic classes correctly correspond to those identified by the interpreter
2D and 3D GPR imaging and characterization of acarbonate hydrocarbon reservoir analogue
We tested and adapted seismic attributes techniques
on a 2-D and 3-D multi frequency GPR dataset to image the
network of stratigraphic joints and fractures, the lithological
variations and to characterize the rock mass based on the
response to the radar wavefield measured in an abandoned
limestone quarry. We applied semi-automatic horizon mapping
techniques using manually picked seeds (control points) on
selected attributes and automatic extrapolation both on inline
and crossline, starting from seed positions. The results were
integrated and validated with direct outcrop measures and
allowed to image an hydrocarbon reservoir analogue in 3-D up to
a depth of over 10m below the topographic surface
Integrating clustering and classification techniques: a case study for reservoir facies prediction
The need for integration of different data in the understanding and characterization of reservoirs is continuously growing in petroleum
geology. The large amount of data for each well and the presence of different wells to be simultaneously analyzed make this task both complex and time consuming. In this scenario, the development of reliable interpretation methods is of prime importance in order to help the geologist and reduce the subjectivity of data interpretation. In this paper, we propose a novel interpretation method based on the integration of unsupervised and supervised learning techniques. This method uses an unsupervised learning algorithm to objectively and quickly evaluate a large dataset made of subsurface data from different wells in the same field. Then it uses a supervised learning algorithm to predict and propagate the characterization over new wells. To test our approach, we use first hierarchical clustering to then feed several supervised learning algorithms in the classification domain (e.g. decision trees and linear regression)