Summary This paper elucidates the influence of pH and ion exchange on formation damage caused by fines migration. The experimental results affect waterflooding, design drilling muds, alkaline flooding. In-situ release naturally existing (generally clays) from changes in colloidal conditions permeating fluid. Such processes can cause extensive sandstones, thereby reducing oil production. Our recent studies clearly indicate that process is started a combination high low salinity. We present...

Summary Robust production forecasting allows for optimal resource recovery through efficient field management strategies. In hydraulically fractured unconventional reservoirs, the physics of fluid flow and transport processes is not well understood presence transitions between multiple regimes further complicate forecasting. An important goal operators to obtain a fast reliable forecast with minimal historical data. The abundance wells drilled in tight formations continuous data acquisition...

Summary The effect of salt composition fluid injected into clay-bearing Berea sandstones on the water-sensitivity phenomenon has been studied. Experiments were carried out with solutions sodium and/or calcium ions, which are ions commonly found in formation. Freshwater flooding previously exposed to results release clay particles and a drastic reduction permeability. permeability is lessened, however, when also present solution. Formation damage virtually eliminated solution adjusted give...

Summary Data-driven models, such as neural networks, provide an alternative to physics-based simulations in predicting well behavior within unconventional reservoirs. However, these models struggle interpret the factors behind production performance, underlying physics of process, and correlations unique individual wells their flow behaviors. These are designed approximate general trends present data sets, which can hinder ability learn behaviors specific certain segments. In large fields, a...

Summary Constructing reliable data-driven models to predict well production performance (e.g., estimated ultimate recovery, cumulative production, curves, etc.) for unconventional reservoirs requires large amounts of data. However, when considering in their early stages development, where data and the wells drilled are limited, one may benefit from leveraging available and/or pretrained other more developed fields. Transfer learning, process storing knowledge gained while solving problem...

Summary The complexity of physics-based modeling fluid flow in hydraulically fractured unconventional reservoirs, together with the abundant data from repeated factory-style drilling and completion these resources, has prompted development application data-driven statistical models for predicting hydrocarbon production performance. More recently, machine learning algorithms have been widely studied developing prediction reservoirs. These often require a large amount high-quality training...

Summary The flow and transport processes that take place during hydrocarbon production from hydraulically fractured unconventional reservoirs are not well understood. As a result, current simulators cannot provide reliable predictions of the behavior in field. In addition to imperfect physics, prediction errors can be caused by inability conveniently integrate important field data, such as logs, drilling, completion parameters, into existing physical models. A neural network (NN) model is...

Abstract The objective of this work was to provide a more accurate prediction well and reservoir performance for gas condensate reservoirs by investigating near-wellbore effects. Specifically, the effects non-Darcy flow changes in relative permeability due interfacial tension (IFT), rate (modeled based on capillary number) productivity are considered. These shown be important factors affecting index (PI) wells. When only considered, bank can cause an order magnitude reduction PI. Hence,...

Summary Neural network predictive models are popular for production forecasting in unconventional reservoirs due to their ability learn complex relationships between well properties and responses from extensive field data. The intricate flow behavior hydraulically fractured reservoirs, which remains poorly understood, makes these statistical particularly useful. Various neural variants have been developed prediction each offering capability of varying levels granularity, accuracy, robustness...

Abstract Growing concerns over global climate change is also increasing the interest in developing technologies to reduce concentration of carbon dioxide (CO2) atmosphere. Geological Carbon Sequestration which injects CO2 into subsurface formations such as deep saline aquifers, depleted hydrocarbon reservoirs are some viable options emissions Deep aquifers a particularly good choice due their wide geographical distribution and proximity emission sources that provide easy accessibility...

Abstract The prospect of dynamic reservoir characterization using flow and pressure data gathered during underbalanced drilling (UBD) is a powerful driver for implementation UBD. mathematical aspects this complex, ill-posed, inverse problem have been the subject research in past decade. This paper focuses on practical, field UBD characterization, problems that consequently arise. Interpretation from made difficult by transducer errors, operational transients, noise data. It therefore often...

Abstract For refracturing candidate selection, good reservoir understanding and a thorough evaluation of completion effectiveness is necessary to help minimize risk. However, this task can be difficult because various uncertainties in terms characterization procedures. Failure identify damage mechanisms when evaluating potential candidates cause varying success rates often minimal incremental recovery or marginal economics. Stimulation modeled, but current fracture models do not accurately...

Summary The velocity dependence of parameters in the Coats-Smith model for tracer dispersion and tailing porous media was investigated. An axisymmetric pore with a step change cross-sectional area used as system to determine whether stagnant zone resulting from variations flow cross sections contributes observed capacitance (i.e., tailing) at level. Numerical simulations show that eddies recirculation are formed pockets result separation. transport between dead zones main channel found be...

Summary In this paper, we present a new approach for modeling filtrate invasion during the drilling of horizontal well through regions with high-permeability contrasts, such as those caused by fractures and streaks, impact that cleanup has on performance. The incorporates schedule experiment-based dynamic filtrate-loss data into fine-grid multiphase reservoir simulator. Unlike traditional leakoff model, which assumes piston-like displacement in filtrate-invaded zone, fluid flow invaded zones...