S-Wave Velocity Prediction and Its Application Using Rock Physics Approach in Simenggaris Block, Tarakan Basin, Northeast Kalimantan

Penulis

  • I Dewa Made Raditya Margenta JOB Pertamina - Medco E&P Tomori Sulawesi
  • Avesta Yudha Pratama JOB Pertamina - Medco E&P Tomori Sulawesi
  • Mochamad Ikhsan Adityatama Wiratisna JOB Pertamina - Medco E&P Tomori Sulawesi
  • Isnianto Saputra JOB Pertamina - Medco E&P Tomori Sulawesi
  • Tulus Wibisono JOB Pertamina - Medco E&P Tomori Sulawesi

Kata Kunci:

S-wave velocity, Consolidation Parameter, Rock Physics, Tarakan Basin

Abstrak

The rock physics approximation is a powerful method for bridging between seismic wave parameters and reservoir characteristics parameters. Therefore, rock physics modelling is necessary and playing an important role during reservoir characterization, especially in the exploration of oil and gas. There are several cases of wells data, which has unrecorded data that are needed, while performing reservoir characterization. The most common one is the absence of S-wave velocity data. S-wave velocity is required especially in seismic inversion as a way to distribute seismic parameters and characterize the reservoir. This problem can be solved using rock physics approach. There are some approaches which are commonly known and used to predict the value of S-wave velocity and one of them is derived by Lee (2005). The differences between Lee's approach with the others are this method uses a free parameter named consolidation parameter and does not directly relate to P-wave velocity. This approach is used to predict the value of S-wave velocity in one of the well in Tarakan Basin and validated through S-wave velocities which are already measured. After good correlation between predicted and measured S-wave velocity is obtained, information of elastic moduli will be used to predict S-wave velocities in the other well on the same formation. In the end, cross-plot analysis will be performed and identified on how this method actually support and offer improvement in reservoir characterization by comparing with actual well information.

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2023-05-12

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