.... artificial intelligence accuracy deep learning prediction lstm model production forecasting water breakthrough numerical simulation production data dataset production rate predictive accuracy reservoir condition neural network machine learning simulation decline curve analysis forecasting...

... within selected fields and compare it to estimates of cumulative production data to calculate the remaining reserves. The ultimate goal is to identify the most efficient and economically viable strategies to optimize oil recovery in Montana’s reservoirs. Phase 1: Resource Assessment The study aims...

... for operational efficacy. geology rock type accuracy simulator dataset history matching neural network geochemistry geochemical characterization production data geologist reservoir simulation artificial intelligence fracture conductivity geological subdiscipline fracture geometry employing...

... requires generating a dimensionless recovery profile (DRP) from the production history of mature wells producing from an analogous reservoir where ultimate recovery is determinable with a high degree of confidence. The daily and/or monthly production data of a newer well selected for analysis is made...

... production forecast gas well ml algorithm ml model cumulative production dimensionless parameter gas production production data goodness presented algorithm dimensional analysis reservoir characterization feature input Introduction Predicting the rate of recovery and estimated ultimate...

... a subset of historical data (0-3months) and actual production data observed over the same time period determines the accuracy of DCA's; repeating the evaluation for subsequent time intervals (0-6 months, 0-9 months,) provides a basis to monitor the performance of each DCA with time. Moreover, the best...

... Resistance Modelling, CRM) to analyze inter-well communication using only injection and production data. The analytic initially matches production history to determine a potential time response between injectors and producers, and simultaneously calculates the connectivity between each pair of wells. Based...

... by interference, refracturing, frac-hits, etc. Abstract This study analyzes the production data from 2,755 horizontal wells in the Haynesville shale. Correlations were generated to predict 4,5,6, and 7-year cumulative productions from initial 6,12 and 24-months production data. These correlations can help...

... production, this study uses monthly production data from public data records. Inherent in this method model is the simultaneous fit of the boundary dominated Arps' b exponent during boundary dominated flow and the transition point. There will be an optimum fit of the boundary dominated flow production rate...

... workflows the number of contributing fractures is estimated using data that are readily available, such as completion designs, fracture propagation models, or production profiles. lateral production data aspect ratio Upstream Oil & Gas well 1 interference hydraulic fracturing marcellus well...

... multivariate linear regression analysis of flow rates in a waterflood to infer interwell connectivity. Advantages of this technique include a simplified one-step calculation and the availability of production data. A capacitance model was introduced as an extension of the technique to account for shut...

... and the production decline characteristics of the Barnett Shale will contribute to a better understanding of how newer shale plays will behave in a longer term. A production decline curve analysis (DCA) in the Barnett Shale is presented that incorporates public production data from over 8,700 horizontal wells...

... the production data. Studies within various reservoirs have provided a methodology for analyzing and establishing infinite acting versus boundary dominated flow patterns including single phase gas, dissolved gas drive and retrograde condensate reservoirs. The application of this study is to demonstrate...

..., stability and the ability to entrain liquids becomes available. production logging mechanistic model production data pressure gradient production control Upstream Oil & Gas viscosity foam flow surfactant surface tension equation production monitoring bubble rise velocity pressure drop...

..., the only data available to an operation engineer is the production data. The critical questions then are how to get the insight of a well's production problem, and how to evaluate well performance and reservoir potential by the limited data. These are real challenges for engineers attempting to develop...

... singular vector nitrate true model automatic history matrix production control coefficient algorithm production data decomposition procedure correlation coefficient reservoir surveillance reservoir characterization spe 106157 Introduction The final form of the automatic history...

... the parameters needed in Hunton field to make it economically successful.We restrict our evaluation to parameters which can be easily measured or are readily available.These include log data (gamma ray, resistivity, neutron and density), initial potential data, production data (oil, gas, and water – if available...

... to address the problems associated with the evaluation of public production data. A Graphical Information System 5 was coupled with publicly available production data and internal pumping service company records 6 to attempt to determine if one completion methodology was really any better than another...

... By applying the above procedure, we can obtain the idea about the trends in reservoir connectivities. This information, along with other available production data, such as flowing pressures, water cut, etc., and data from other sources (for example geological data and logs), can be utilized...

... Abstract Analysis of production data to obtain estimates of the intrinsic properties of a reservoir and of the current well condition can be performed using a number of available analysis procedures. Each of these analyses were developed using differing assumptions and often result in poor...