... and micro fracture closure ( Meng et al, 2021 ; Zou, et al, 2021 ; Tao et al, 2024 ). Therefore, this paper analyzes the laws governing the effects of CO 2 treatment on the micro-mechanical properties of fracture surfaces of shale, based on nano-indentation tests. And the effects of the variation...

... the downhole understanding of pumping wells. valve drillstem testing dlpg asia government beam pumping drillstem/well testing china government variation inspection transmission characteristic load pulse upstream oil & gas artificial lift system downstroke wellhead communication...

... information well-p well-p lateral reservoir characterization interpretation well-w deep azimuthal resistivity inversion reservoir navigation well logging stratigraphy inversion thickness variation detection density image successful geosteering Introduction Field X was discovered in 1976...

..., previous research on geopolymer has focus on construction industry which the studies were conducted at atmospheric condition, hence limited study available that experimenting both pressure and temperature variation on the cement. Therefore, the current study aims to observe the flexibility of geopolymer...

... & gas flow in porous media production monitoring cylinder transmission ipa variation diameter coupling module technology china government reservoir surveillance production control layer 2 valve sub anchor decd layer 1 separated zone oil production technology wireless transmission...

... field modeling & simulation interpretation cus connectivity stratigraphic connectivity acquisition laverda canyon field production uncertainty variation lav02st2 spe-210673-ms baseline anomaly Introduction The Laverda Canyon Field is located in the Exmouth Sub-basin, Carnarvon...

... ) of the possible adverse consequences, expressed by the coefficient of variation. The total risk is the sum of the products of P i and I i , displayed on the risk map. The workflow and methodology were applied in a depleted gas reservoir for CO 2 storage. The main elements identified for uncertainty...

... prior to the pipe sticking in some cases (thereby partly confirming our hypothesis) and were sensitive to large variations in the drilling parameters. artificial intelligence neural network upstream oil & gas machine learning deep learning normal drilling operation prediction time...

... different operating parameters was also analyzed. This study provided a scientific basis for the efficient operation of UGS and the geological storage of CO 2 . gas storage variation cushion gas alternative gas upstream oil & gas reservoir natural gas storage nitrogen molecular diffusion...

... a foundation for the prevention and control of hydrate and wax formation in wellbore. modeling & simulation wellbore temperature variation thermal conduction drillstem testing convection temperature drop heat transfer natural convection upstream oil & gas correlation convection heat...

... drilling behaviors in different parts of the Shunbei field, a pilot area was selected to construct a 3D geomechanical model to understand the lateral variations in stress and rock properties by integrating the spatial structural and lithology changes. A 3D geomechanical model is built using the well-based...

... time system wellbore integrity annular pressure drilling variation emw drilling measurement drilling equipment upstream oil & gas dwt device deployment drillstring design wellbore design drill pipe drilling data acquisition elevator assembly application red zone rig dwt drilling...

... are the coals within the deeper group. The reservoir and trap pre-dates the oil and gas generation enabling hydrocarbon accumulationCarbon Dioxide variation within the field. Another study was conducted to investigate reservoir connectivity observing the CO2 compositional variation in the field...

... pressure response iteration effective thickness xpm iteration formation water saturation pressure transient testing information Aslanyan CTR society of petroleum engineers prediction transmissibility permeability displacement efficiency interpretation Drilling variation saturation...

... prediction Directional Drilling blind test variation Artificial Intelligence trajectory median absolute error machine learning Upstream Oil & Gas prediction quality depth variation baseline model direction determination slide episode drilling bit position target feature algorithm azimuth...

... parameter known as Pore Cross-sectional Area Flux (PCAF) is introduced to continuously characterize the time-variation of a property during simulation. This new method overcomes the disadvantage of the previous characterization approach known as Pore Volume (PV), which is strongly dependent on grid size...

.... Significantly, this system is sufficiently environmental friendly and cost effective. drilling fluids and materials temperature stabilizer rpm 3 reduction drilling fluid chemistry drilling fluid formulation variation shale different mud weight drilling fluid property stabilizer rheological...

... the injection pressure trends are insensitive to the variation of local stresses. There is a process that favors growth in the softer coal seams for all cases, which yields a slight and progressive increase in the injection pressure. Artificial Intelligence hydraulic fracturing variation fracture...

... coefficient machine learning drilling fluids and materials new model variation Iraq Artificial Intelligence circulation Dammam formation latent factor key drilling parameter mud loss drilling fluid management & disposal Upstream Oil & Gas ROP model Rumaila field score plot correlation...

... reservoir geomechanics injector stimulation hydraulic fracture principal stress natural fracture tight oil reservoir horizontal principal stress stress contrast zhou-6 block variation producer fracture shu-2 block pore pressure fracture network stress field injectivity Introduction...