History-matching and forecasting tight/shale gas condensate wells using combined analytical, semi-analytical, and empirical methods

Clarkson, Christopher R.; Williams-Kovacs, Jesse; Qanbari, Farhad; Behmanesh, Hamid; Sureshjani, M. Heidari

doi:10.1016/j.jngse.2015.03.025

Cited by 44 publications

(20 citation statements)

References 18 publications

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“…Multi-phase flow through reservoir rock occurs in many practical applications such as different EOR scenarios, production from depleted oil reservoirs, and tight/shale gas condensate reservoirs when dew point pressure is reached (Clarkson et al, 2015). parameters, historical measurements are incorporated in the simulation model.…”

Section: Discussionmentioning

confidence: 99%

Joint estimation of absolute and relative permeabilities using ensemble-based Kalman filter

Jahanbakhshi

Pishvaie

Boozarjomehry

2015

Journal of Natural Gas Science and Engineering

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Section: Discussionmentioning

confidence: 99%

Joint estimation of absolute and relative permeabilities using ensemble-based Kalman filter

Jahanbakhshi

Pishvaie

Boozarjomehry

2015

Journal of Natural Gas Science and Engineering

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“…Concerning the applied techniques, the most prevalent approaches are based on statistical methods, such as autoregression, moving average and their combinations: autoregressive integrated moving average model (ARIMA) [18] with use of linear regression analysis, quasi-linear autoregressive model [19] or Markov chain models (MCM) [20]. These methods based on historical production or time series data for modelling and prediction.…”

Section: Production Trend Forecast Methodsmentioning

confidence: 99%

Production trend identification and forecast for shop-floor business intelligence

Viharos

Csanaki²,

Nacsa

et al. 2016

ACTA IMEKO

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<p>The paper introduces a methodology to define production trend classes and also the results to serve with trend prognosis in a given manufacturing situation. The prognosis is valid for one, selected production measure (e.g. a quality dimension of one product, like diameters, angles, surface roughness, pressure, basis position, etc.) but the applied model takes into account the past values of many other, related production data collected typically on the shop-floor, too. Consequently, it is useful in batch or (customized) mass production environments. The proposed solution is applicable to realize production control inside the tolerance limits to proactively avoid the production process going outside from the given upper and lower tolerance limits.</p><p>The solution was developed and validated on real data collected on the shop-floor; the paper also summarizes the validated application results of the proposed methodology.</p>

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“…Later, Stalgorova and Mattar extended the tri-linear flow model to a five regions flow model [12] . Then some researchers (Samandarli et al, 2014;Clarkson et al, 2013Clarkson et al, , 2014 successfully used these models to study the complex well behavior exhibited in the field [13][14][15] . Recently, Sureshjani and Clarkson developed a new enhanced fracture-region model based on the five regions flow model, and the new model is more general and rigorous than previous models [16] .…”

Section: Introductionmentioning

confidence: 99%

Pressure Transient Analysis of Multi-Fractured Horizontal Well in Tight Gas Reservoirs

Zhao

Yin

Zhong

et al. 2016

MATEC Web of Conferences

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Abstract. Multi-fractured horizontal well is applied in tight gas reservoirs due to the low permeability. A new pressure transient model of multi-fractured horizontal well based on discrete-fracture model in which the hydraulic fractures are discretized as 2D entities is built in this paper, The model is divided into hydraulic fracture region and formation region. The model can be solved using the Galerkin finite element method, then the pressure transient type curves are plotted by computer programming. The results show that there are five different flow regimes observed in type curves including early linear flow, early radial flow, elliptical flow, later pseudo-radial flow and boundary response regime. A sensitivity analysis is conducted to study impacts of hydraulic fracture number, hydraulic fracture half-length, hydraulic fracture spacing, and hydraulic fracture conductivity on pressure transient type curves. The new model and obtained results in this paper not only enrich the well testing models, but also play a guiding role in analyzing pressure transient response of multi-fractured horizontal well in tight gas reservoirs.

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History-matching and forecasting tight/shale gas condensate wells using combined analytical, semi-analytical, and empirical methods

Cited by 44 publications

References 18 publications

Joint estimation of absolute and relative permeabilities using ensemble-based Kalman filter

Joint estimation of absolute and relative permeabilities using ensemble-based Kalman filter

Production trend identification and forecast for shop-floor business intelligence

Pressure Transient Analysis of Multi-Fractured Horizontal Well in Tight Gas Reservoirs

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