... technologies. The authors introduce classification methods for such technologies based on function, feature and definition. The effort is to clarify the plethora of terminologies flooding the Oil field dictionary such as Autonomous, Automated, Active, Passive etc. This paper presents the pros and cons...

... the model performance. Finally, the confusion matrix is used as an evaluation metric to quantify the model performance of this multiclass classification task. Results show that machine learning models have skewed performance (predicted permeability scores are lower than actual permeability scores) due...

.... It provides an effective guidance for efficient waterflooding in this oilfield. machine learning upstream oil & gas artificial intelligence flow unit accuracy enhanced recovery classification kernel function characteristic artificial intelligence method prediction model flow unit division...

... from nine wells in a clastic reservoir. Seven wells were used to train the models and the remaining two to test their classification performance. The grain size-types range from clay to granules. While sedimentologists have used gamma-ray logs to guide grain size qualification, the RF model recommended...

... for swabbing kick and underbalanced kick scenarios which are two different categories on the basis of their cause, this kick classification concept that usually ignored by many engineers as well as in many kick tolerance models prevents the risk of swabbing kick overestimation. Besides kick classification...

... without any gap along the borehole. The images acquired while drilling then processed with advance processing to quantify fracture geometry and classification of the porosity in the carbonate system for further optimization on inflow control device position and geometry. well logging Reservoir...

... porosity fracture fracture permeability fractured basement hydraulic fracturing orientation object area basement reservoir borehole image permeability classification window normalized hydrocarbon fracture characterization Malaysia south malay basin offshore peninsular Introduction...

..., and would be able to differentiate between porous zones with lower clay volume versus porous shales with high clay volumes. The main point is that if a thin bed interval has some calculated free fluid volume using standard resolution logs, then a thin bed analysis is warranted. classification...

...-for-purpose static models to be delivered on time. reservoir characterization classification geologic modeling modeling & simulation innovative static modeling approach geological modeling upstream oil & gas static model variation workflow rock type geometry porosity fault geometry...

..., realistic estimation of permeability was possible with a rock typing framework based on calibrated porosity partitioning. log analysis offshore Angola well logging vug fraction porosity formation tester mobility classification anhydrite Upstream Oil & Gas carbonate estimation society...

... determinations and to define new well targets. In addition, classical borehole images interpretation of fracture types as open fractures and healed fractures or more detailed classification is not sufficient to identify and predict with confidence hydrocarbon flowing zones within the basement. To mitigate...

..., the consenting party also has the option of taking the 500% penalty enticement for the other party's interest obligation. If both non-consent, the reserves' FMV remains at the reduced value for proved non-producing classification. This would be represented by SI receiving "a" (which is less than 10%) and LI...

... response of reservoir formation tester measurements for formation pressure and reservoir fluid mobility. machine learning Artificial Intelligence orientation induction resistivity Reservoir Characterization neural network water saturation lithofacies well logging classification Image log...

.... It focuses specifically on the different ways a static reservoir model can be built from 3D seismically derived volumes (3D/3D, Hybrid and grid-based). class cube machine learning well log data classification workflow generalised inversion pass static reservoir model upstream oil & gas...

..., in that sufficient wells had been drilled to drain the known and intersected oil and gas reservoirs. This report presents how 3D AVO classification has the potential to refine the understanding of the geological depositional model, confirm existing reserves and possibly locate additional hydrocarbon pools...

... heterogeneity machine learning synergy artificial intelligence classification producer reservoir facies mitra inversion injector seismic facies kharak singh spe 68648 gas cap heterogeneity reservoir porosity reservoir characterization upstream oil & gas reflection strength reservoir...

... Abstract This paper presents the integrated deterministic/probabilistic approach to petroleum resources definitions, classification, determination and reporting. The definitions being proposed herein are consistent with, but more complete than the recently published SPE/WPC revised definitions...

... used to support the operator's development strategy for the pool. reservoir simulation spe 29281 reservoir management reservoir characterization samarang field society of petroleum engineers spe 29281 full field model classification reservoir mmstb upstream oil & gas gas migration...