... detection and quantification. Figure 4 Downwind flux plane to capture equipment group level emissions. Figure 5 Enhanced methane concentrations measured at a significant level above ground level resulting from a controlled release from a storage tank. Figure 6 Methane sensor...

... emission rates to verify industry emission performance and data. climate change air emission quantification offshore environment onboard sensor performance upstream oil & gas methane simulation emission rate sensor machine learning detection limit background plume spectrometer...

... Abstract Nuclear magnetic resonance (NMR) T 1 - T 2 logs from several west Texas wells over various formation layers were acquired to assess the values of NMR logging for fluid typing and saturation quantification in tight mudstone reservoirs. To quantify fluids in those low-porosity...

... (including loose quartz grains), siltstones, claystones and carbonates. Image analysis allowed the classification and quantification of the identified lithologies in 16 drill cutting samples from two tight gas reservoirs. This innovative methodology allowed the fast identification of lithologies using...

... from the actual downhole situation. production control production logging Flow profile spectral acoustic data Artificial Intelligence Upstream Oil & Gas sandscreen temperature log sensor production monitoring Speech Recognition quantification conventional production Reservoir...

... government data mining Upstream Oil & Gas criteria decision maker variable grid method seismic survey communication data analysis information groundwater Visualization Artificial Intelligence quantification uncertainty representation criteria grid cell size dataset united states...

... filled with NCM can appear resistive on images and invalidate the basic assumptions of existing secondary porosity quantification software that open vugs are filled with conductive mud (since they were developed for water-based mud). A new laboratory device that features the same logging frequency...

... sensing technologies and architectures for remote detection, identification, quantification and visualization of gas leaks in the event of a crisis. Total, the ONERA – The French Aerospace Lab – and ADCIS have developed a set of algorithms and software to measure, compute and visualize a methane plume...

... risk optimization routine Artificial Intelligence quantification well placement optimization algorithm optimization problem particle natural tracer data optimal solution reservoir model well location uncertainty quantification scale risk multi-objective optimization Oil Recovery...

... quantification is challenging with current technologies used in laboratory apparatus, especially when concentrations of mercury are very low. The conventional method of mercury content quantification is by analysis of samples captured either with wireline formation testers or while drillstem testing (DST) a well...

... gas density measured at the separator and difficulty in sustaining a flare. Traditionally, the presence of CO 2 has been assessed and quantified via lab analysis on samples acquired by both wireline formation testing tools and well tests. Reliable quantification of CO 2 from reservoir fluid samples...

... quantification of uncertainty allows identification of these superior projects. risk and uncertainty assessment upstream oil & gas risk management project valuation decision error asset and portfolio management risk assessment industry performance bratvold capex selection npv artificial...

.... production monitoring production control reservoir surveillance flow assurance waterflooding quantification water-hammer effect injector flow rate completion installation and operations sand production mechanism enhanced recovery upstream oil & gas failure condition weak layer spe 146551...

... ., recovery factors) from the intelligently selected simulation runs reservoir simulation quantification artificial intelligence objective function recovery machine learning upstream oil & gas maucec sensitivity workflow algorithm model realization history matching parameterization...

...-bearing intervals) and ‘a substantial uncertainty in quantification (and usually under-estimation) of the hydrocarbon volumes’. In this study, an analytical approach is shown on how to properly quantify the volumes in place and recovery, starting with the proper petrophysical evaluation methods, and how...

... treatments to monitor temperature profiles along the wellbore in real time show that fluid distribution can be quantified. This paper discusses the application of DTS to quantify the effectiveness of diversion agents. Quantification of fluid distribution makes it possible to determine the flow distribution...

... Abstract The battle against deterministic forecasts and financial valuations in the oil and gas industry appears to have been won, as evidenced by the plethora of papers, conference sessions, and forums focused on uncertainty quantification or profit prediction. Yet, decision makers are still...

...’ which is now perceived to be one of the global risk factors, the business faces. The Quantification & Management of Climate related impacts on business, investments, reduction of risk / liability & pursuit of opportunities, is therefore necessary. Along with risk, Carbon emissions (CO 2...

... that are developed for numerical reservoir simulators used in the oil and gas industry called Surrogate Reservoir Models. This paper demonstrates the use of SRMs for quantification of uncertainties associated with input parameters in a full field model. Abstract Reservoir simulation is routinely used...

... a limited number of models are used for prediction. In order to solve this problem, a probabilistic approach is presented using uncertainty quantification throughout the history matching process. This paper describes the process of geological and reservoir uncertainty quantification and ranking...