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Integrating new data acquisition to develop tight gas reservoir of a mature field through multilayer fracture stimulations

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Laslau Mare field is situated in the central part of the Transylvania Basin, in Romania. This is a mature gas field, composed by multi-layered sandstone reservoirs, grouped in six production packages. The permeability of the reservoirs is decreasing with depth, resulting in tight gas formations in the two deepest reservoirs. One of these tight reservoirs presents a high interest for reserves development in order to accelerate the recovery factor of the field. Compared to the other production packages, which have higher recovery factors (~80%), this package has a current RF of only 65%, with more attractive remaining recoverable gas volumes. The reservoir model was built based on 3D seismic and old log data. After history matching and simulation, a remaining gas in place map was created, in order to visualize the areas of interest for future drilling or workover operations. One new infill well was drilled in 2014, in an area with higher remaining gas in place. Special logging and side- wall coring were executed in this well, in order to get a better characterization of the reservoir properties and to build a geomechanical model for hydraulic frac design. The subject package still has a decent reservoir pressure which keeps an acceptable value of the productivity index of the producer wells. The reservoir pressure recorded after the drilling helped to update the static reservoir pressure in the area; the new points were incorporated in the dynamic model in order to get morę control in the pressure history match. New population of static properties such as: porosity, net to gross and permeability have been included in the dynamic model to generate the forecast production profile for the infill well and neighbor wells. The infill is a dual completion well which means the deeper zone produces through the tubing and the shallower zone through the annulus being separated by a packer. These two zones have two different dynamic models. The production forecasts has been done also based on decline curve analysis DCA, using historical production of the neighbor wells as a reference and the decline rate of the area, in each reservoir. In that order of ideas the infill has two gas production forecasts coming from each methodology, to compare with the real gas production, which allows us evaluating the results in the well. Based on the new data, the frac stages were defined and simulated in the deeper tight reservoir, in order to select the best target layers. The initial plan was to do multistage frac stimulation, but the idea was discarded after evaluating the operational feasibility. Ten frac stages have been evaluated creating a local refmement grid around the well and designing a fracture simulation scenario. The results pointed out one stage as being the best in terms of cumulative production and it was chosen as the only finał target for frac. A PLT log was run in the infill well for the purpose of identifying the risk of water layers and the production contribution of the perforation intervals. This was matched very well with the simulation results. The results and experience gained from this new well are helping with the further planning of the production development strategy of this production package in order to inerease the final recovery factor.
Rocznik
Strony
153--173
Opis fizyczny
Bibliogr. 6 poz., rys., wykr., tab., fot.
Twórcy
  • Exploration-Production Department, Romgaz, Romania
autor
  • Schlumberger, Romania
autor
  • Schlumberger, Romania
Bibliografia
  • [1] Cantini S.: Pressure express Interpretation report. March 2014.
  • [2] Gromek E.: Geomechanical Study for Hydraulic Fracturing Design in the well IJ-01 Laslau Mare. Romania. May 2014
  • [3] Iturbe Y., Falk L, Stefanescu D.: Optimizing Recovery Factor in multilayers Mature Gas Field, based on Decline Curve Analysis Methodology. 25th Conference Drilling Oil Gas, AGH 2014.
  • [4] Abbot J.: Mangrove Engineering report. Aug 2014.
  • [5] Fava G., Akuanyionwu O., Iturbe Y.: Fracture numerical model in Laslau Mare XIII-XIV. October 2014.
  • [6] Ioan M.: PLT interpretation report ofIJ-01 Laslau. January 2015.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d118e387-e730-4a1f-a49b-82c8939975c0
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