Multiparametric data analysis for identifying active fault geometries in the Abruzzo and Molise regions (Central-Southern Appennines, Italy)

2020 ◽  
Author(s):  
Germana Gaudiosi ◽  
Valeria Paoletti ◽  
Rosa Nappi ◽  
Paola Luiso ◽  
Federico Cella ◽  
...  
Keyword(s):  
Data Analysis ◽  
Integrated Analysis ◽  
Imaging Method ◽  
Seismic Sequence ◽  
Southern Apennines ◽  
Central Apennines ◽  
Parametric Data ◽  
Epicentral Distribution ◽  
Fucino Basin ◽  
Low Magnitude

<p>The Central and Southern Apennines are characterized by the occurrence of intense and widely spread historical and recent seismic activity, mostly located along the chain.</p><p>In this paper, we present a multi-parametric data analysis in GIS environment (Geographic Information System) with the aim of identifying and constraining the geometry (strike, dip direction and dip angle) of the seismogenic faults in areas of Central-Southern Apennines characterized by outcropping/ buried and/or active/silent faults.</p><p>We use an integrated analysis of geo-structural, seismological and gravimetric data, for the identification and geometrical description of faults with density contrast, both at the surface and at depth. At the surface, the gravity lineaments inferred by Multiscale Derivative Analysis (MDA) were compared with the Quaternary faults mapped in the study areas and with the earthquakes’ epicentral distribution. The characterization of faults at depth was instead performed by the combination of the Depth from Extreme Points (DEXP) gravity imaging method with hypocentral sections.</p><p>We tested the effectiveness of this multi-method approach at Mt. Vettore-Mt. Bove, L’Aquila basin, Mt. Massico and San Giuliano di Puglia areas (Central and Southern Apennines).</p><p>Given the effectiveness of the obtained results, this multiparametric study has been applied to other three areas of the Abruzzo-Molise region: the south-western sector of Mt. Matese, the Fucino basin and the Sulmona basin.</p><p>The Matese area was hit by a seismic sequence in 2013-2014 (M<sub>wmax</sub>= 5.1 on December 29, 2013). Our approach showed a correlation between the epicentral distribution of the 2013-2014 Matese seismic sequence (M<sub>w</sub>=5.0) and the MDA lineaments from gravity data. The hypocentral distibution suggests that the fault rupture does not reach the surface. Therefore, the seismogenic fault responsible of 2013-2014 Matese seismic sequence is likely a buried fault.</p><p>The Fucino basin was struck by a M<sub>w</sub>=7.0 earthquake on January 13, 1915, causing 30,000 causalities within a large area surrounding the basin. At present, the area is characterized by scarce instrumental seismicity with low magnitude.  Our analysis highlights a good correlation between NW-SE and NE-SW well-known faults and clear gravimetric MDA maxima bordering the plain. This area can be currently considered silent but, from historical seismological studies, it is one the highest seismic risk areas of Central Apennines.</p><p>Moreover, we investigated the area of the Sulmona basin, the southwards extension of the eastern system of Central Apennines developing from Mt. Vettore, Mt. Gorzano and Mt. Gran Sasso. In historical times, the faults of the most external extensional alignment, defined as silent and considered as probable seismic gaps, activated during the 2016 Amatrice–Visso–Norcia seismic sequence. Further to the southeast, two relatively large earthquakes occurred on the eastern flank of Mt. Maiella on November 3, 1706 (M<sub>w</sub>=6.6) and on September 26, 1933 (M<sub>w</sub>=5.7). The Sulmona area is presently characterized by poor and low magnitude instrumental seismicity. Our multi-parametric analysis highlighted a strong correlation between MDA maxima and the Mt. Morrone normal fault bordering the western side of Mt. Maiella and the eastern side of the Sulmona basin.</p>

Integrated Production Data Analysis and Water Injection Optimization in A Giant Carbonate Field

2021 ◽  
Author(s):  
Adel Mehrabadi ◽  
Gabriele Urbani ◽  
Simona Renna ◽  
Lucia Rossi ◽  
Italo Luciani ◽  
...  
Keyword(s):  
Data Analysis ◽  
Water Injection ◽  
Water Flooding ◽  
Integrated Analysis ◽  
Production Data ◽  
Data Set ◽  
Proper Actions ◽  
Injection Scheme ◽  
Vertical Heterogeneity ◽  
Current Water

Abstract In case of giant brown fields, a proper water injection management can result in a very complex process, due to the quality and quantity of data to be analysed. Main issue is the understanding of the injected water preferential paths, especially in carbonate environment characterized by strong vertical and areal heterogeneities (karst). A structured workflow is presented to analyze and integrate a massive data set, in order to understand and optimize the water injection scheme. An extensive Production Data Analysis (PDA) has been performed, based on the integration of available geological data (including NMR and Cased Hole Logs), production (allocated rates, Well Tests, PLT), pressure (SBHP, RFT, MDT, ESP) and salinity data. The applied workflow led to build a Fluid Path Conceptual Model (FPCM), an easy but powerful tool to visualize the complex dynamic connections between injectors-producers and aquifer influence areas. Several diagnostic plots were performed to support and validate the main outcomes. On this basis, proper actions were implemented to optimize the current water injection scheme. The workflow was applied on a carbonate giant brown field characterized by three different reservoir members, hydraulically communicating at original conditions, characterized by high vertical heterogeneity and permeability contrast. Moreover, dissolution phenomena, localized in the uppermost reservoir section, led to important permeability enhancement through a wide network of connected vugs, acting as water preferential communication pathways. The geological analysis played a key role to investigate the reservoir water flooding mechanism in dynamic conditions. The water rising mechanism was identified to be driven by the high permeability contrast, hence characterized by lateral independent movements in the different reservoir members. The integrated analysis identified room for optimization of the current water injection strategy. In particular, key factor was the analysis and optimization at block scale, intended as areal and vertical sub-units, as identified by the PDA and visualized through the FPCM. Actions were suggested, including injection rates optimization and the definition of new injections points. A detailed surveillance plan was finally implemented to monitor the effects of the proposed actions on the field performances, proving the robustness of the methodology. Eni workflow for water injection analysis and optimization was previously successfully tested only in sandstone reservoirs. This paper shows the robustness of the methodology also in carbonate environment, where water encroachment is strongly driven by karst network. The result is a clear understanding of the main dynamics in the reservoir, which allows to better tune any action aimed to optimize water injection and increase the value of mature assets.

An Integrated Analysis of Tourism Seasonality in Prices and Quantities, with an Application to the Spanish Hotel Industry

2020 ◽  
pp. 004728752094780
Author(s):  
Javier Lozano ◽  
Javier Rey-Maquieira ◽  
Francesc Sastre
Keyword(s):  
Data Analysis ◽  
Hotel Industry ◽  
Integrated Analysis ◽  
Price Flexibility ◽  
Tourism Flows ◽  
The Relationship

Most research on tourism seasonality has focused on tourism flows and, to a much lesser extent, on tourism prices. However, up to now no research has been devoted to understanding the relationship between tourism seasonality in quantities and prices. We try to fill this gap with an application to the Spanish hotels during 2008–2017. Provincial data on the seasonality of night stays and prices of Spanish hotels is presented, compared, and correlated. This data analysis inspires a supply-demand framework to jointly explain both kinds of seasonality. We show the usefulness of this framework to first explain the role of hotels’ cost and price flexibility in determining the seasonality of night stays and second to encompass in a single framework most of the determinants of the changes of tourism seasonality in quantities and prices, including some determinants seldom considered in the literature.

EosFit7-GUI: a new graphical user interface for equation of state calculations, analyses and teaching

2016 ◽  
Vol 49 (4) ◽  
pp. 1377-1382 ◽  
Author(s):  
Javier Gonzalez-Platas ◽  
Matteo Alvaro ◽  
Fabrizio Nestola ◽  
Ross Angel
Keyword(s):  
Thermal Expansion ◽  
Data Analysis ◽  
User Interface ◽  
Equation Of State ◽  
Least Squares ◽  
Graphical User Interface ◽  
Diffraction Data ◽  
Equations Of State ◽  
Least Squares Fitting ◽  
Parametric Data

EosFit7-GUIis a full graphical user interface designed to simplify the analysis of thermal expansion and equations of state (EoSs). The software allows users to easily perform least-squares fitting of EoS parameters to diffraction data collected as a function of varying pressure, temperature or both. It has been especially designed to allow rapid graphical evaluation of both parametric data and the EoS fitted to the data, making it useful both for data analysis and for teaching.

Earthquake swarms in the Southern Apennines chain (Italy): the 1997 seismic sequence in the Sannio–Matese mountains

1999 ◽  
Vol 306 (1) ◽  
pp. 57-78 ◽  
Author(s):  
Girolamo Milano ◽  
Rita Digiovambattista ◽  
Giuliana Alessio
Keyword(s):  
Earthquake Swarms ◽  
Seismic Sequence ◽  
Southern Apennines

A low magnitude seismic sequence near Isernia (Molise, Central Italy) in January 1986

1990 ◽  
Vol 134 (2) ◽  
pp. 243-260 ◽  
Author(s):  
Giuliana Alessio ◽  
Cataldo Godano ◽  
Antonella Gorini
Keyword(s):  
Central Italy ◽  
Seismic Sequence ◽  
Low Magnitude

Inversion tectonics during post-orogenic extensional collapse: a comparison between ancient (North Sea, UK) and recent (Fucino Basin, central Apennines Apennines) intermontane systems

2020 ◽  
Author(s):  
Stefano Patruno ◽  
Vittorio Scisciani
Keyword(s):  
Gravitational Collapse ◽  
Western Europe ◽  
Central Italy ◽  
Middle Pleistocene ◽  
Coupled Analysis ◽  
Inversion Tectonics ◽  
Central Apennines ◽  
The North ◽  
Fucino Basin ◽  
Extensional Collapse

<p>Post-orogenetic extensional/gravitational collapse events constitute a relatively poorly understood tectonic process, which is responsible for the quick and effective dismantling of the thickened crust and topographic bulge of fold-and-thrust belt edifices. These events are also responsible for the accumulation of very thick post-orogenetic successions and, in case of active extension, may trigger moderate to strong earthquakes resulting in obvious seismic hazards (e.g., the 1915 Mg 7.0 Fucino earthquake in Central Italy, which caused 30,000 victims)</p><p>Here, we combine seismic interpretation coupled with well analyses, basin modelling and a thorough literature review, in order to compare an ancient and a modern example of study areas subject to post-orogenetic collapse. The Devonian-age Old Red Sandstones of north-western Europe and ?Plio-Quaternary fill of the Fucino intramontane extensional basin in the central Apennines (Italy) share several stratigraphic, depositional and tectonic characteristics. Both are characterized by remarkably similar seismic-stratigraphic architecture (with syn-depositional half-grabens) and maximum thickness of >1,500 metres. In the Fucino, the border faults associated to the main tectonic depocentres achieved maximum throw rates of 1,000-1,400 mm/kyr.</p><p>Both units comprise thick continental siliciclastic successions, dominated by lacustrine and alluvial to fluvio-deltaic facies. The facies architecture reveals a progressive transition from localized, fault-bounded depocentres to transgressive lacustrine successions in wider basins that are less reliant on the sole fault-driven subsidence. The studied units were deposited due to high and quick tectonic subsidence which took place very shortly after the end (or during?) of crustal shortening processes (respectively Caledonian and Apenninic orogenesis) and in a post-orogenic collapse context.</p><p>In both study areas, the sedimentation of the thick continental units are intimately associated to a polyphase inversion tectonics, with pre-existing inherited deep-seated discontinuities affected, in places, first by a positive and subsequently by a negative reactivation during the extensional collapse. A further element common in the two study areas, is a strike-slip or oblique tectonics occurring during or immediately prior to the extensional collapse achieved by the normal faulting. This has been interpreted as a consequence of the gradual rotation of the stress vectors around their axes, culminating in the relaxation of the horizontal compressive stress and the onset of the post-orogenetic extensional/gravitational collapse process itself. For example, in the Fucino Basin, maximum Plio-Quaternary sediment thicknesses of >1700 m occur in two tectonic depocentres, situated respectively to the north and east of the basin. In contrast, the south-eastern striking dip-slip border faults bounding the eastern edge of the Fucino show maximum slip rates in the Lower-Middle Pleistocene, with evidence (e.g., Gioia dei Marsi) for a very recent activity, possibly linked with the 1915 seismic event.</p><p>The study of post-orogenic extensional collapse by comparison of ancient and recent basins suggest that in these settings poly-phase tectonic inversion commonly occurs and promote multiple reactivation of inherited zones of weakness. The comprehension of the common and dissimilar features, may be fundamental to better understand the mechanism and evolution of post-orogenic chain reworking and for natural resources and geological hazards assessment, including earthquakes. The coupled analysis of an ancient and recent example enables just that.</p>

scholarly journals Provision of an integrated data analysis platform for computational neuroscience experiments

2014 ◽  
Vol 16 (3) ◽  
pp. 150-169 ◽  
Author(s):  
Kamran Munir ◽  
Saad Liaquat Kiani ◽  
Khawar Hasham ◽  
Richard McClatchey ◽  
Andrew Branson ◽  
...  
Keyword(s):  
Data Analysis ◽  
Computational Neuroscience ◽  
Image Data ◽  
Building Blocks ◽  
Study Data ◽  
Scientific Workflow ◽  
Integrated Analysis ◽  
Data Sets ◽  
Biomedical Data ◽  
Content Type

Purpose – The purpose of this paper is to provide an integrated analysis base to facilitate computational neuroscience experiments, following a user-led approach to provide access to the integrated neuroscience data and to enable the analyses demanded by the biomedical research community. Design/methodology/approach – The design and development of the N4U analysis base and related information services addresses the existing research and practical challenges by offering an integrated medical data analysis environment with the necessary building blocks for neuroscientists to optimally exploit neuroscience workflows, large image data sets and algorithms to conduct analyses. Findings – The provision of an integrated e-science environment of computational neuroimaging can enhance the prospects, speed and utility of the data analysis process for neurodegenerative diseases. Originality/value – The N4U analysis base enables conducting biomedical data analyses by indexing and interlinking the neuroimaging and clinical study data sets stored on the grid infrastructure, algorithms and scientific workflow definitions along with their associated provenance information.

scholarly journals Fractals As Triggers For Exploratory Statistical Analysis of Clinical Pharmacological Data

2013 ◽  
pp. 53-57
Author(s):  
S.K. Kulishov ◽  
O.M. Iakovenko
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Iterative Process ◽  
Iteration Process ◽  
Underlying Structure ◽  
Anova Analysis ◽  
Parametric Data ◽  
Pharmacological Data ◽  
Selection Of

Proposed and tested an algorithm of using principles of Cantor, von Koch sets for exploratory fractals clinical pharmacological data analysis. The algorithm is based on the grouping data, formation of categorical variabilities in the form of subgroups as iteration process as for receiving Cantor, von Koch sets. It boils down to: selection of informative numerical dependent variabilities; transformation these informative numerical dependent variabilities to new categorical variabilities; formation categorical variabilities in the form of subgroups as a result of an iterative process as for Cantor, von Koch sets; statistical analysis of the data; determination of the distribution of variabilities; transformations that may be normalize from non-normal data; ANOVA - analysis of variance parametric data or nonparametric equivalent of ANOVA - Kruskal-Wallis testing; formulation of the conclusion. Our algorithm of using Cantor, von Koch sets principles for Exploratory Fractals Data Analysis of clinical pharmacological data will help maximize insight, uncover underlying structure, extract important variables, develop models and determine optimal factor settings.

scholarly journals PREFACE

2017 ◽  
Vol 59 ◽  
Author(s):  
Carlo Doglioni ◽  
Marco Anzidei ◽  
Silvia Pondrelli ◽  
Fabio Florindo
Keyword(s):  
Central Italy ◽  
Universal Time ◽  
Wide Area ◽  
Seismic Sequence ◽  
Central Apennines ◽  
Total Destruction ◽  
Italian Regions

<p>The M=6.0 earthquake that struck central Italy at 01:36 UTC (Universal Time Coordinated) on August 24, 2016, marked the beginning of a long, still-ongoing seismic sequence, which culminated in the Mw 6.5 event at 06:40 UTC on October 30, 2016, while this volume was already in preparation, and reactivated again when this preface was almost complete. This dramatic seismic sequence, which on January 18, 2017, released four additional events of M between 5.0 and 5.5 in a few hours, caused 298 casualties, hundreds of injuries, and the practically total destruction of several villages across a wide area of the central Apennines, covering the Italian Regions of Lazio, Umbria, Marche and Abruzzo. In particular, the historical village of Amatrice was completely destroyed. [...]</p>

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