Analysis of Shale Production Performance Using Decline Curve Methods

Nelson, Brad Thomas

doi:10.33915/etd.3397

Cited by 1 publication

(2 citation statements)

References 11 publications

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“…Actual Well 1 value of the constant obtained via the nonlinear-regression method (Microsoft Excel-Solver) at 3.5 years was then divided by the value of the ratio at 3.5 years. So, future reservoir performance (at 30 years) can be determined by applying predicted constant values to DCA models (Nelson, 2013). The results were shown in Table G-1 through Table G-8.…”

Section: Confirmation With Field Datamentioning

confidence: 99%

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Analysis of Production Data from Horizontal Shale Wells Using Decline Curves

Mashayekhi¹

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Recent interest in the exploitation of Marcellus shale play, using horizontal drilling and multistage hydraulic fracturing, has increased the demand for reliable estimation of recoverable reserves from ultra-low permeability shale gas formations. Due to the limited field experience, the production performances of Marcellus shale gas reservoirs as well as the key parameters that affect the long-term production of the horizontal wells have not been well-established. Among all the prediction methods, only the Decline Curve Analysis (DCA) technique has proved successful in forecasting production data rapidly and to a high degree of accuracy. Several DCA models including conventional Arps, PLE, and Duong have been utilized in this study to determine the most appropriate method for production data from horizontal Marcellus shale wells. Fekete (Fast Evolution) simulator has been used to generate the thirty year production data from 3000 feet of horizontal lateral. The two base scenarios include seven and thirteen hydraulic fracture stages. The gas adsorbed to shale is also considered. The applicability of several DCA models to shale gas production history was examined using the simulated production profiles. The impact of the permeability, fracture half length, and matrix porosity on DCA models constants were also investigated. Finally, the proposed ratio methodology was applied to the limited production profile (3.5 years of production history) from a well in Upshur County, WV to estimate the DCA constants, and predict the long-term production performance. The prediction results from DCA models then compared to the history-matched simulation model predictions for confirmation.

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Section: Confirmation With Field Datamentioning

confidence: 99%

“…The Solver works by optimizing R 2 with non-linear equations to indicate the best curve fit to production history of a well; while varying only each DCA model parameters (Nelson, 2013).…”

Section: Appendixmentioning

confidence: 99%

Analysis of Production Data from Horizontal Shale Wells Using Decline Curves

Mashayekhi¹

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Analysis of Shale Production Performance Using Decline Curve Methods

Cited by 1 publication

References 11 publications

Analysis of Production Data from Horizontal Shale Wells Using Decline Curves

Analysis of Production Data from Horizontal Shale Wells Using Decline Curves

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