La Cira Infantas is the oldest oil field in Colombia with approximately 100 years of production history, located in the Middle Magdalena Valley Basin. The field production comes from the C zone reservoir of Mugrosa Formation where the depositional environment is a fluvial meandering system. The reservoir has a high heterogeneity and it is defined as an interbedding of sandstones, shales and siltstones with an average thickness of 600 ft and a permeability range from 80 mD to 2 Darcy. The field has been under secondary recovery since the 1960's and in 2005 a redevelopment of the water flooding process began. The field has approximately 400 patterns and 1,000 active producer wells, 95% of which are under a water flooding process. Injector wells have a selective string completion, composed of mandrels and packers, independently injecting in different sand units. Currently, there are patterns with low areal efficiency and consequently lower than expected recovery factor. An interwell tracer project was executed in a six pattern pilot sector, composed of 16 distinct mandrels, in order to validate the need of a conformance treatment to improve current conditions and have a better understanding of the reservoir connectivities. In each selected mandrel a unique tracer family was used in order to accurately intepret breakthough results. The workflow in the project starts by using the results of the tracer test to estimate swept volume and flow geometry in all patterns. The swept zone represents the thief zone in each pattern and provides an insight of how poor the areal efficiency of the pattern is. Flow geometry is represented in an F- Φ curve and the tangent is related to the residence time of an arbitrary flow line, which is used to first recognize the need for a conformance job and then to calculate the fraction of the swept volume needed to treat. The last step of the workflow is to estimate the incremental oil production rates derived from treating the thief zone. Two analytic methods were derived for the incremental oil production rate estimates. The conformance candidates were ranked according to treatment volume vs. incremental oil recovered over a two-year timeframe. Those results are in process of being analyzed. The results of the inter-well tracer showed that conformance is needed in 6 individual mandrels and there is a strong relationship between the facies architecture and the flow distribution of the injected water. Also, it will improve the definition of the job portfolio for the conformance project which considers 80 candidates and 2.7 MMBO resources. The application of conformance treatments is a novelty in multilayer mature oil fields under water flooding process in Colombia, and the study of inter well tracers is essential for the success of this IOR technology.

La Cira Infantas is the oldest oil field in Colombia. It has approximately 100 years of production, and it is located in the Middle Magdalena Valley Basin, producing from a black oil multilayered and heterogeneous sandstone reservoir. Primary production began in 1918 until 1959 when the first water flooding process began. In 2005, Oxy Colombia and Ecopetrol initiated a joint venture of a new redeveloped water flooding process. Since the joint venture, the field has expanded to 400 patterns and 1,000 active producer wells, 95% of which are under a water flooding process. The redesign of the field considers 20-acre to 25-acre on average and 5-spot to 7-spot inverted patterns. Injector wells have a selective string completion, with mandrels and packers that allow having control on the vertical distribution of the volume of water per mandrel group. In order to monitor water flood performance in the field, a reservoir surveillance methodology, based on dimensionless variables, has been implemented. The methodology was originally applied for a CO2 flood surveillance and was later extended to fit water flooding monitoring purposes. The paper presents the application of the dimensionless methodology, which allows the evaluation of water flood areas independently of their pattern configuration. This allows the comparison between patterns, sector or areas versus a theoretical ideal performance curve and quickly identify underperforming patterns in order to propose remedial actions. The application of this methodology has opened new opportunities in the field including the identification of well candidates for chemical stimulation jobs and conformance jobs, isolation jobs in producer wells as well as pump upsize opportunities. Additionally, it has improved the technical evaluation of workover jobs. Because of this, in the last four years La Cira Infantas has extended its portfolio activity, executing over 400 workover jobs. More importantly, it has allowed the transfer of more than 20MMBO into PDP reserves, and the production of 3,000BOPD of incremental oil production per year since 2014. This paper will provide an insight into the water flooding surveillance carried out in La Cira Infantas, which has proven to be very successful in Oxy's business units.

Nowdays the injection plastics processes at insdustrial level have had a great development in the bajio region with the arrival of new enterprise suppliers of the automotive industry that work particuary de injection molding. The plastics injection molding is a semicontinuous process that consists of inject a polymer in the molten state into a mold closed under pressure, throught a small hole called gate, in the mole the material is solidifies, the piece or final part is obtained when the mold is opened and remove the piece molding from the cavity [1]. To monitor and control the temperature changes in the plastics injection cicles permite reduce errors and costs in the process. In this project we propose to apply manufacture 4.0 using the Arduino Mega microcontroller and LabVIEW to monitor part of the process of the injection molding of the DeMag 250 Ton Machine, specifically the coolding system adapting to control the injection molde temperature. The preliminare results show that is apropiate to use the LabVIEW an Arduino Mega combination to generation of innovation project applied to the plastic industry.