... exploration tool broadhead spe 70054 interface expert system risk reduction upstream oil & gas online database information prrc nm tech geophysical data risk management society of petroleum engineers artificial intelligence risk and uncertainty assessment Summary of Progress During...

... brushy canyon interval upstream oil & gas machine learning balch artificial intelligence spe 70041 Introduction The Delaware Mountain Group in the Delaware basin of New Mexico consists of a thick (4500 ft) sandstone and siltstone interval with 95% of the sandstone medium to fine-grained...

..., the generated model was validated using a full-field model of North East area`, that involves history match of each well individually. geological modeling vertical variogram spe 70012 simulation variability artificial intelligence geologic modeling hassi messaoud field information lag distance...

... length conductivity reynolds number upstream oil & gas friction factor pressure solution rp 0 drillstem/well testing equation wellbore artificial intelligence pressure drop conductivity solution horizontal well flow regime Introduction The magnitude of wellbore pressure drop has...

... only marginally reducing the actual number of barrels produced. beam pumping artificial intelligence real time monitoring volatility asset and portfolio management power cost upstream oil & gas electricity cost artificial lift system customer supplier operator spe 70033 oil field...

... reservoir descriptions in complex carbonate reservoirs. artificial intelligence porosity spe 70034 texas reservoir characterization well logging log response permeability prediction cluster analysis machine learning correlation permeability classification log analysis electrofacies...

... injector criteria artificial intelligence waterflooding engineer permeability producer team member placement technique pilot well history upstream oil & gas fracture communication Introduction In early 1998, Occidental Permian, Ltd. (OPL) realized that, to make their large CO 2...

..., it is worthwhile to evaluate a data driven technique such as offered by an artificial intelligence approach. Data Many current computer aided techniques used to compute depth structure maps with well data rely on linear interpolation (LI) or low order polynomial interpolation (LPI) of the control data...

... of real time logging. artificial intelligence collar locator safety parameter micro-smart system sensor slickline stephen arnold blaster production log society of petroleum engineers upstream oil & gas completion installation and operations innovation well condition flowmeter...

... porosity at the Dagger Draw and better predictions are expected, as the process is refined and neural network algorithms are improved. The use of artificial intelligence to generate core porosity data using only wire-line log data can provide data that could only be attained previously using expensive...

... testing gamma ray artificial intelligence bottom interval deep resistivity coefficient upstream oil & gas well logging weiss old gamma ray testing correlation coefficient neural network petroleum engineer cc 0 foster 4 depth laterolog Introduction The lack of adequate logs...

... machine learning cumulative water production subsea depth log analysis prediction neural network creek field granite wash artificial intelligence 2-month cumulative gas-equivalent production 2-month cumulative water production porosity information upstream oil & gas thickness water...

... testing pressure transient testing pressure transient analysis formation testing tight zone artificial intelligence upstream oil & gas formation pressure efp buildup compressibility probe the packers drawdown interpretation laplace transform spherical solution storage exact solution...

... & gas hydraulic fracturing spe 39781 in-situ stress equation fracture propagation in-fill development reservoir pressure artificial intelligence simulation information reservoir characterization application simulator johnson reservoir pressure gradient SPE 39781 i i ! Society...

... experimental data logic & formal reasoning rod coupling spe 39800 artificial intelligence logic programming shear stress shear stress model prediction reservoir surveillance relative rod velocity cfd code upstream oil & gas production control equation artificial lift system reynolds...

... reservoir characterization dimensionless time correlation permeability noise artificial intelligence structural geology saturation machine learning drive mechanism net pay nonlinearity 1998. Society of Petroleum Engineers ...

... application demonstration reservoir spe 35223 hn-p process enhanced recovery wellbore injection soak period permeability simulation artificial intelligence production rate co 2 machine learning waterflooding reservoir simulation structural geology drillstem testing drilling operation sagd...

... than by using a single porosity-permeability relation. These reservoir parameters could then be extrapolated to uncored wells, using the sequence stratigraphy framework, to build the 3-D model of the reservoir. well logging wettability core data reservoir artificial intelligence project...

... production monitoring enhanced recovery information production rate cross correlation production data upstream oil & gas artificial intelligence well 101 production control pressure support well 103 spe 35184 watercut indication communication assumption reservoir simulation drillstem...

... no production on the surface, the environmental impact caused by flaring oil or gas during a conventional well test is alleviated. diffusivity layer property time region initial pressure initial layer pressure artificial intelligence equation unequal initial pressure logarithmic time derivative...