Abstract. Most precipitation from deep clouds over the continents and in the intertropical convergence zone is strongly influenced by the presence of ice crystals whose formation requires the presence of ice nucleating particles (INPs). Although there are a large number of INP sources, the ice nucleating abilities of aerosol particles originating from oceans, deserts, and wildfires are poorly described at tropical latitudes. To fill this gap in knowledge, the National Autonomous University of Mexico micro-orifice uniform deposit impactor droplet freezing technique (UNAM-MOUDI-DFT) was constructed to measure the ice nucleating activity of aerosol samples that were collected in Sisal and Mérida, Yucatán (Mexico) under the influence of cold fronts, biomass burning (BB), and African dust (AD) intrusions during five short-term field campaigns between January 2017 and July 2018. The three different aerosol types were distinguished by their physicochemical properties. Marine aerosol (MA), BB, and AD air masses were found to contain INPs; the highest concentrations were in AD (from 0.071 to 36.07 L−1 at temperatures between −18 and −27 ∘C), followed by MA (from 0.068 to 18.90 L−1 at temperatures between −15 and −28 ∘C) and BB (from 0.063 to 10.21 L−1 at temperatures between −20 and −27 ∘C). However, MA had the highest surface active site densities (ns) between −15 and −30 ∘C. Additionally, supermicron particles contributed more than 72 % of the total INP concentration independent of aerosol type.

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The Mogollon Formation of the lower Eocene is among the most productive of the Block X that is located on the continental shelf along the northem coast of Peru. The Mogollon Formation is considered a Natural Fractural Reservoir that has been produced for 50 years; because of the age of the wells, they have not image log information even more the study area does not have seismic information; therefore, these lacks of data does not allow characterizing appropriately the fracture distribution and its impact on the production. Previous studies tried to establish a methodology to characterize fracture sets but not reached to establish a proper relationship with production. The aim is the stochastic Sensitivity Analysis to find effective parameters ranges on 3D Fracture Network using information of Stress Distribution, Outcrops and Wellbore Data adjusted to well production history in the mature field, 50 Wells were used in the study. The Methodology consists in finding the ranges of variation of the indicators of fractures which are fracture density, aperture, orientation, length, distribution on the fracture site and configuration strain studies, which are obtained from a few available core data and outcrops; ranges allowed to develop a stochastic model with multiple realizations which were simulated numerically to find the best fit with the production history of the zone. The study allowed establishing drainage preferential direction and 10 blocks with the same conditions was extrapolated. This methodology was incorporated in reservoir studies performed in the drilling project in the Block.