# Reservoir Engineering and Simulation Methods

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/reservoir-engineering-and-simulation-methods/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on advanced techniques in reservoir management, including the use of Ensemble Kalman Filter for data assimilation and model updating, optimization of well placement and production operations, uncertainty quantification in production forecasting, and closed-loop control strategies. The research also covers topics such as smart wells, history matching, and the integration of geological models for improved reservoir characterization. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t11801 |
| Works | 23 |

## Topic papers all

Showing 15 of 23.

- [Time-series well performance prediction based on Long Short-Term Memory (LSTM) neural network model](https://scholariq.org/papers/time-series-well-performance-prediction-based-on-long-short-term-memory-lstm/)
- [PAI-S/K: A robust automatic seismic P phase arrival identification scheme](https://scholariq.org/papers/pai-s-k-a-robust-automatic-seismic-p-phase-arrival-identification-scheme/)
- [From pore scale to wellbore scale: Impact of geometry on wormhole growth in carbonate acidization](https://scholariq.org/papers/from-pore-scale-to-wellbore-scale-impact-of-geometry-on-wormhole-growth-in/)
- [Economic and environmental analysis of a Steam Assisted Gravity Drainage (SAGD) facility for oil recovery from Canadian oil sands](https://scholariq.org/papers/economic-and-environmental-analysis-of-a-steam-assisted-gravity-drainage-sagd/)
- [A new continuous-time formulation for scheduling crude oil operations](https://scholariq.org/papers/a-new-continuous-time-formulation-for-scheduling-crude-oil-operations/)
- [Novel solution approach for optimizing crude oil operations](https://scholariq.org/papers/novel-solution-approach-for-optimizing-crude-oil-operations/)
- [Analysis of Microscopic Displacement Mechanisms of Alkaline Flooding for Enhanced Heavy-Oil Recovery](https://scholariq.org/papers/analysis-of-microscopic-displacement-mechanisms-of-alkaline-flooding-for/)
- [Real-Time Measurement of Drilling Fluid Rheological Properties: A Review](https://scholariq.org/papers/real-time-measurement-of-drilling-fluid-rheological-properties-a-review/)
- [A reinforcement learning approach for waterflooding optimization in petroleum reservoirs](https://scholariq.org/papers/a-reinforcement-learning-approach-for-waterflooding-optimization-in-petroleum/)
- [Analytical model for production performance analysis of multi-fractured horizontal well in tight oil reservoirs](https://scholariq.org/papers/analytical-model-for-production-performance-analysis-of-multi-fractured/)
- [The object-oriented design of the integrated water modelling system MOHID](https://scholariq.org/papers/the-object-oriented-design-of-the-integrated-water-modelling-system-mohid/)
- [Modeling Multiaquifer Wells with MODFLOW](https://scholariq.org/papers/modeling-multiaquifer-wells-with-modflow/)
- [The mechanism of drainage gas recovery and structure optimization of an internal vortex tool in a horizontal well](https://scholariq.org/papers/the-mechanism-of-drainage-gas-recovery-and-structure-optimization-of-an-internal/)
- [Planning strategies in the energy sector: Integrating bayesian neural networks and uncertainty quantification in scenario analysis & optimization](https://scholariq.org/papers/planning-strategies-in-the-energy-sector-integrating-bayesian-neural-networks-2/)
- [A study of the mechanism of nonuniform production rate in shale gas based on nonradioactive gas tracer technology](https://scholariq.org/papers/a-study-of-the-mechanism-of-nonuniform-production-rate-in-shale-gas-based-on/)

## Topic primary papers

- [Time-series well performance prediction based on Long Short-Term Memory (LSTM) neural network model](https://scholariq.org/papers/time-series-well-performance-prediction-based-on-long-short-term-memory-lstm/)
- [A reinforcement learning approach for waterflooding optimization in petroleum reservoirs](https://scholariq.org/papers/a-reinforcement-learning-approach-for-waterflooding-optimization-in-petroleum/)
- [Artificial intelligence based-improving reservoir management: An Attention-Guided Fusion Model for predicting injector–producer connectivity](https://scholariq.org/papers/artificial-intelligence-based-improving-reservoir-management-an-attention-guided/)
- [Fuzzy Comprehensive Evaluation of Oil Field Waterflooding Effect](https://scholariq.org/papers/fuzzy-comprehensive-evaluation-of-oil-field-waterflooding-effect/)
- [Evolution of Service Reservoir Design and Construction in the Loch Lomond Water Supply Scheme.](https://scholariq.org/papers/evolution-of-service-reservoir-design-and-construction-in-the-loch-lomond-water/)
- [Planning Strategies in the Energy Sector: Integrating Bayesian Neural Networks and Uncertainty Quantification in Scenario Analysis & Optimization](https://scholariq.org/papers/planning-strategies-in-the-energy-sector-integrating-bayesian-neural-networks/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.