Realflow 2014 hot real time
With the advent of chat rooms on AOL, I supplemented porn with cybersex and sometimes managed to find clips and videos online, which took hours to download. Later, when classmates at my all-girls Catholic high school were talking about MTV, YM magazine and PMS, I was educating myself on all sorts of other acronyms: DP, POV, ATM and more. I masturbated every day, multiple times a day, until I was e. My brother was three years older, and I'd wait for him to leave the house and then raid his stash, hidden in his bedside drawer under men's fitness magazines and school notebooks. During the day, I made other arrangements. I didn’t know whether to hate her or love her, but I knew I needed her. I started staying up late, when Mom and Dad were snoring away in oblivion, to watch softcore porn on Cinemax. I wonder now if I would have lost the thrill of masturbation eventually, once the novelty wore off, but I found new thrills. My hormones were a freight train, and I tried to keep up. Robert Louis Stevenson will forever be an erotic novelist in my mind. There are 34 chapters in that book and, having made that deal, I breezed through them over the course of a few blissed out days. Dredging through the book “Treasure Island” in seventh grade, I told myself I was allowed to masturbate to orgasm at the end of each chapter so I could finish by the due date. H2O had stolen my heart.Īfter that, sex was always on my mind. No longer would I be crushed out on Eddie Vedder or Chris Cornell. I didn’t know what I stumbled upon, only that it felt scary and wrong, but I tried not to care. Nothing in my hush-hush Catholic upbringing and innocent friend circle had prepared me for this earthshaking experience, equal parts pleasure and shame. I was in the bathtub, helpless to a steady stream of warm water cascading down my lady parts, while the most intoxicating buildup brought me to my first orgasm. The daily platform production is allocated efficiently to individual wells using a multilayer perceptron neural network model adaptively trained with well-testing and daily production datasets, and supported by the Energy and mass balance equations.The first time I masturbated I was 12 years old. The observations used to demonstrate the performance of the proposed hybrid model include 1600 well-testing data points together with 420 days of production history of an offshore gas condensate platform.
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The outcome entails a new set of mathematical models, implemented using Apache Spark cluster computing engine with APIs in Python, that enables rigorous and robust optimization of the recovery process, designing and discovering hidden patterns in production data, and extracting reservoir information indirectly in seconds. The objective of this study is to embed artificial intelligence algorithms in reservoir uncertainty modeling and present a mechanistically-supported data-driven model applicable for production forecasting of gas condensate wells with higher confidence. The virtual flow metering techniques make it possible to utilize daily production data sets and extract information on how wells and reservoir will respond to different operational conditions.
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Although production forecasting of unconventional gas condensate systems is more challenging than for conventional wells, it is of great interest to support decisions by knowing the future of the wells as far as possible.
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In this regard, the oil and condensate flow metering in offshore gas condensate platforms is always confronted by environmental, economic, and operational challenges resulting in uncertain production management plans. Real-time decision making, field surveillance, and production optimization improve the performance of existing operations to increase hydrocarbon recovery and reduce emissions.