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Keywords: Artificial Intelligence
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Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179972-MS
..., 2006 ) and described in the book "Fortune’s Formula" by Poundstone (2005) . strategic planning and management portfolio optimization investment Artificial Intelligence Upstream Oil & Gas decision support system Portfolio analysis Cozzolino method capital Kelly Criterion Kelly...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179955-MS
... the P50. Through such quantitative evaluations of all the realizations, geologists and reservoir engineers can select optimistic to pessimistic realizations to aid economic assessment of the reservoir. Artificial Intelligence machine learning porosity property porosity similarity geobody...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179961-MS
... progressively complicating problem formulations. The achieved outcomes match conclusions that could be derived with a reasoned train of thought in economy-of-scale context meaning our solution is applicable for modeling situations lacking simple analytical solutions. Artificial Intelligence risk...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179951-MS
... of exploration opportunities. asset and portfolio management portfolio assessment Artificial Intelligence Upstream Oil & Gas value assessment evaluation dependency portfolio optimization constraint optimized exploration planning machine learning Portfolio analysis cash flow probability...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179957-MS
... and fracture optimization stage is reduced to finding the target function minimum in an N -dimensional parametric space using various constrained minimization techniques, including a Quasi-Monte Carlo analysis and the Active Set Method. Artificial Intelligence hydraulic fracturing Fluid Dynamics...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179966-MS
... and drilling in the US Eagle Ford shale. shale oil shale gas Artificial Intelligence oil shale depletion complex reservoir Upstream Oil & Gas landowner equilibrium exhaustion surplus acreage shale boom constraint market tightness assumption lease leasing physical depletion Drilling...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179962-MS
..., the rise of the national oil companies in recent decades in terms of production and reserves control, has led to additional competition against service companies by international oil companies for providing specialized technical assistance. Energy Economics Artificial Intelligence market analysis...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179952-MS
... the basic requirements for rational project management. Subsequent application of fairway maps in other areas and similar plays may someday become a more general reliable technology paradigm for addressing unconventional resource assessment. Energy Economics Artificial Intelligence asset...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179980-MS
... a black-box method is instead a natural and automated extension of well-accepted techniques, and the few published studies of the technique suggest that it may be robust, particularly over the scale of years. Artificial Intelligence uncertainty analysis Bayesian Inference variation Upstream Oil...
Proceedings Papers
Analysis of Supply and Demand Dynamics to Predict Oil Market Trends: A Case Study of 2015 Price Data
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179976-MS
... and their influences on the price. market analysis Energy Economics Artificial Intelligence supply and demand pricing supply and demand forecasting speculation Market Trend oil price relation actual data producer oil demand economic growth oil supply global oil demand Carbon Management Technology...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179953-MS
... method which is easily generated within spreadsheets can be used to replace the "black box" Monte Carlo simulation of estimating hydrocarbon reserves in the oil and gas industry. Artificial Intelligence Upstream Oil & Gas Reservoir Characterization reserves evaluation expectation curve...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179958-MS
... application of our method using field examples from four major shale plays. hydraulic fracturing machine learning Upstream Oil & Gas pressure transient analysis pressure transient testing detection production data histogram neighbor Artificial Intelligence pressure data local outlier...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179967-MS
... recovery. This article also reveals that some commonly hold beliefs may sound reasonable to infer production decline trend, but may not be true in a coupled reservoir system in reality. shale gas cumulative production Artificial Intelligence Upstream Oil & Gas complex reservoir hydraulic...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179984-MS
... in productivity over time or comparison of marginal contribution of different inputs to productivity, which is more relevant for economic studies of the resource extraction. The present paper attempts to fill this gap, preparing the base for further economic viability analyses. Artificial Intelligence...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179969-MS
.... planning & scheduling Commodity Price cash flow portfolio optimization investment approximation oil price Scenario portfolio model strategic issue Artificial Intelligence Portfolio analysis constraint debt covenant downside exposure society of petroleum engineers integration...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179954-MS
... that are routinely reported is far more informative to decision makers or investors than the current practice of a single expected value. asset and portfolio management reserves evaluation Simulation Artificial Intelligence Upstream Oil & Gas prospective resource portfolio optimization portfolio...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179992-MS
... of the spread and a field application. The study covers all decline models (exponential, hyperbolic and harmonic models) and both cases where the decline exponent is known and unknown. production control production monitoring machine learning Artificial Intelligence production forecasting variance...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179960-MS
... Columbia and Alberta, Canada, is used to assess how accurately initial production predicts the expected ultimate recovery of a single well. Artificial Intelligence unconventional resource economics information strategic planning and management complex reservoir appraisal phase payoff Energy...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179968-MS
... decisions. asset and portfolio management Upstream Oil & Gas Artificial Intelligence project valuation substantial reduction ibpp economic model granularity integration planning & scheduling economic engine deployment Alianza Casabe Casabe Project economics awp production...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/IAEE Hydrocarbon Economics and Evaluation Symposium, May 17–18, 2016
Paper Number: SPE-179959-MS
... transient analysis Upstream Oil & Gas convolution integral History Artificial Intelligence drillstem/well testing normalization rate decline model matrix formulation elastic net regularization pressure profile regularization decline curve analysis Drillstem Testing Pressure deconvolution...