Pedro Pereira

ORCID: 0000-0001-6156-8044
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About
Contact & Profiles
Research Areas
  • Reservoir Engineering and Simulation Methods
  • Seismic Imaging and Inversion Techniques
  • Geological Modeling and Analysis
  • Soil Geostatistics and Mapping
  • CO2 Sequestration and Geologic Interactions
  • Drilling and Well Engineering
  • Carbon Dioxide Capture Technologies
  • Radiative Heat Transfer Studies
  • Optical Imaging and Spectroscopy Techniques
  • Hydraulic Fracturing and Reservoir Analysis
  • Wildlife-Road Interactions and Conservation
  • Atmospheric and Environmental Gas Dynamics
  • Numerical methods in inverse problems
  • Antioxidant Activity and Oxidative Stress
  • Coastal and Marine Management
  • Underground infrastructure and sustainability
  • Sustainable Development and Environmental Policy
  • MRI in cancer diagnosis
  • Bat Biology and Ecology Studies
  • Ocular and Laser Science Research
  • Geothermal Energy Systems and Applications
  • Geological and Geophysical Studies Worldwide
  • Air Quality and Health Impacts
  • Graph Theory and Algorithms
  • Offshore Engineering and Technologies

University of Aveiro
2024

Instituto de Telecomunicações
2024

University of Évora
2021-2024

EarthTech International (United States)
2024

Administração Regional de Saúde de Lisboa e Vale do Tejo
2024

Universidade Federal do ABC
2023

HealthInsight
2019-2022

Terra
2021

University of Lisbon
2015-2020

Instituto Superior Técnico
2016-2019

In West Macedonia (Greece), CO2 accounts as one of the largest contributors greenhouse gas emissions related to activity regional coal power plants located in Ptolemaida. The necessity mitigate prevent climate change under Paris Agreement’s framework remains an ongoing and demanding challenge. It requires implementing crucial environmentally sustainable technologies provide balanced solutions between short-term needs for dependency on fossil fuels requirements move towards energy transition...

10.3390/en14113321 article EN cc-by Energies 2021-06-05

ABSTRACT Geostatistical seismic inversion methods are routinely used in reservoir characterisation studies because of their potential to infer the spatial distribution petro‐elastic properties interest (e.g., density, elastic, and acoustic impedance) along with associated uncertainty. Within geostatistical framework, retrieved inverse elastic models conditioned by a global probability function continuity model as estimated from available well‐log data for entire grid. However, real...

10.1111/1365-2478.12502 article EN Geophysical Prospecting 2017-01-20

Carbon capture, utilization and storage (CCUS) is considered a major part of the Portuguese strategy for reducing CO 2 emissions. Some industrial sectors, most prominent being cement sector, require implementation to reach carbon neutrality by 2050. This paper presents characterizes areas with potential in mainland Portugal. The lithostratigraphic tectonic frameworks onshore offshore basins are presented; site screening process was conducted, based on basin- regional-scale assessments,...

10.1144/petgeo2020-123 article EN Petroleum Geoscience 2021-02-04

10.1016/j.jqsrt.2015.10.001 article EN Journal of Quantitative Spectroscopy and Radiative Transfer 2015-10-23

Iterative geostatistical seismic inversion integrates and well data to infer the spatial distribution of subsurface elastic properties. These methods provide limited assessment uncertainty inverted properties, overlooking alternative sources such as those associated with poor well-log data, upscaling, noise within data. We have expressed uncertain samples, due bad logging reads in terms local probability functions (PDFs). Local PDFs are used conditioning a stochastic sequential simulation...

10.1190/geo2017-0758.1 article EN Geophysics 2018-12-14

Geostatistical seismic inversion methods are routinely used in reservoir characterization studies. This is due to their potential inferring the spatial evaluation of petro-elastic properties interest (e.g. density, elastic and acoustic impedances) along with associated uncertainty. In this study, an extension a previously introduced geostatistical method was developed which local multi-distribution functions continuity models under non-stationary conditions were taken into account. The...

10.1190/segam2016-13771425.1 article EN 2016-09-01

Iterative geostatistical seismic inversion methodologies allow the inference of petro-elastic properties subsurface (e.g., density, shear and compressional impedances) that are essential during geo-modelling workflow. The resulting inverted models always approximations to real geology contaminated by errors uncertainties an intrinsic part inverse solution within a setting. main drawbacks this framework is relatively high number iterations needed reach correlation coefficients between...

10.1190/segam2016-13954095.1 article EN 2016-09-01

ORGANIC AND INORGANIC BIOMARKERS OF ATMOSPHERIC AEROSOLS FROM MARINE REGIONS. In this study, we overview the recent advancements in knowledge regarding organic and inorganic biomarkers of atmospheric aerosols from coastal zones open marine areas. It deals with interaction between ocean atmosphere through their interface, formation a seawater microlayer (SML) exchange myriad chemical compounds those environmental compartments. We also discuss how (MAs) are intrinsically related to global...

10.21577/0100-4042.20230063 article EN cc-by-nc Química Nova 2023-01-01

Summary The proposed work aims to integrate the steering volumes, resulting from seismic attribute analysis, into iterative geostatistical inversion procedures during perturbation of petro-elastic model parameter space. estimation reflections orientation (azimuth and dip) consist on precalculation structural attributes that are able retrieve a good estimate dip azimuth original data volume. This approach allows simulation structurally consistent properties using traditional Cartesian...

10.3997/2214-4609.201700911 article EN Proceedings 2017-05-26

Numerical methods for the solution of transient radiative transfer problems, in which finite speed light propagation must be accounted for, have received significant attention due to their practical relevance several applications, such as example medical diagnostics and treatments. In these problems it is common deal with strongly scattering media, where diffusion equation (DE) expected perform well. However, predictive accuracy DE becomes poor if anisotropy phase function large, well near...

10.1615/ichmt.2015.intsympadvcomputheattransf.1110 article EN Proceeding of Proceedings of CHT-15. 6th International Symposium on ADVANCES IN COMPUTATIONAL HEAT TRANSFER , May 25-29, 2015, Rutgers University, New Brunswick, NJ, USA 2015-01-01

Conceptually, geostatistical seismic inversion methodologies assume that the original well-log data is used as hard-data, i.e. experimental data, without considering any associated uncertainty, e.g. measurement errors form logging tool. During drilling, it common some zones of borehole wall a given well may collapse due to, for example, significant variation in lithology creating instability along borehole. When these situations occur important noticing measured not be reliable and are with...

10.1190/segam2016-13948946.1 article EN 2016-09-01

Summary Seismic inversion methodologies are key tools in reservoir modeling and characterization for inferring the Earth's subsurface petro-elastic properties of interest. While deterministic seismic allow retrieving a single best-fit inverse model with low computational effort, geostatistical procedures computationally expensive but assessing uncertainty related solution. In this work we propose new approach to accelerate increase convergence rate traditional iterative by integrating an...

10.3997/2214-4609.201600968 article EN 79th EAGE Conference and Exhibition 2017 2016-01-01
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