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Evaluation of the Hydraulic Fracturing Implementation at Well WEA-01 Layer A3 Kaesti, Edgie Yuda; Suwardi, Suwardi; Widyaningsih, Ratna; Yusrizal, Muhammad Zakiy; Rifqi, Wijaya Ananditya; Hartoyo, Puji
Journal of Petroleum and Geothermal Technology Vol. 4 No. 2 (2023): November
Publisher : Universitas Pembangunan Nasional "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jpgt.v4i2.9834

Abstract

The WEA-01 well produces in the A3 productive layer, talangakar formation with a layer thickness of 32.80 ft with a perforation interval of 4340.55 – 4360.24 ftMD where from petrophysical data this formation is dominated by sandstone with a permeability of 3 mD which is classified as low and a tight formation (Koesoemadinata, 1980) with 10% porosity. This is the basis for the stimulation of Hydraulic Fracturing. Hydraulic fracturing that has been implemented needs to be evaluated to find out whether the implementation has been carried out optimally or not.The method to be used in the evaluation of the WEA-01 Well hydraulic fracturing implementation includes data collection, then manual calculations and evaluation with actual data. The first evaluation was to calculate the geometry of the fracture using the 2D PKN method, the second evaluation was to calculate the price increase in the productivity index using the Cinco-ley Samaniego and Dominique method and the third evaluation was to analyze the IPR curve (Inflow Performance Relationship) before fracturing using the Darcy method and after fracturing using the Pudjo Sukarno method.Based on the results of manual fracture geometry calculations using the 2D PKN method, the results obtained are fracture length (Xf) of 200.07 ft, fracture height (hf) of 32.80 ft, and fracture width (wf) of 0.23 inch, fracture conductivity of 5094.70 mD-ft, and FCD 8.5, while the results of calculating the average permeability of formations using the Howard & Fast method obtained permeability after Hydraulic Fracturing of 15.71 mD or an increase of 5.2 times from the initial conditions and calculating the productivity index using the Cinco-Ley, Samaniego & Dominique method obtained an increase in PI prices of 3.45 times and from the determination of the IPR curve, the results obtained from the comparison of the IPR curve showed an increase in the production rate from 45.00 BOPD to 330 BOPD. Based on the increase in the fluid production rate, the implementation of Hydraulic Fracturing that has been carried out can be said to be successful.Keywords – hydraulic fracturing, fracturing fluid, proppant, fracture geometry, permeability, conductivity
Modern Palacio-Blasingame Type Curve Method to Determine Well Production Characteristics and Reserves in Fields in Indonesia Yusrizal, Muhammad Zakiy; Edgie Yuda Kaesti; Ratna Widyaningsih; Hari Prapcoyo; Nia Nuraeni
Scientific Contributions Oil and Gas Vol 48 No 4 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i4.1784

Abstract

Well production characteristics and reserves are critical parameters in field development planning and production optimization. In general, well production characteristics are obtained through well testing, followed by plotting and extrapolating flow rate against time, commonly referred to as the cumulative production curve. Conventional decline curve analysis models production decline under constant bottom-hole pressure during boundary-dominated flow periods. However, this approach is inadequate for analyzing data obtained during transient flow periods and requires substantial time and cost when applied to large fields with numerous wells. The modern Palacio-Blasingame type-curve method enables the integration of daily production data with reservoir information by accounting for variations in bottom-hole pressure and changes in gas pressure–volume–temperature characteristics as reservoir pressure declines. This approach enhances the accuracy of well performance evaluation and reserve estimation, provides a more comprehensive understanding of reservoir dynamics, improves efficiency by reducing analysis time and associated costs compared with the conventional decline curve methods.