Claim Missing Document
Check
Articles

Found 2 Documents
Search

Analisis Pengaruh Variasi Kontaminasi Air Laut Terhadap Perubahan pH dan Sifat Reologi Lumpur Pemboran pada Sumur IM Lapangan ME Indah Mentari Ephiphania; Mirza Mirza; Esterina Natalia Paindan; Baiq Maulinda Ulfah
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.60832

Abstract

Drilling mud plays an important role in oil and gas drilling operations as it functions to transport cuttings, maintain wellbore stability, and control formation pressure. The performance of drilling mud may deteriorate due to contamination, one of which is seawater contamination that can affect the pH value and rheological properties of the drilling mud. This study aims to analyze the effect of seawater contamination on the pH and rheological properties of drilling mud used in Well "IM" of the "ME" Field. This research employed a quantitative method with an experimental approach conducted at the Drilling Laboratory of Sekolah Tinggi Teknologi Migas Balikpapan using seawater contamination levels of 1%, 3%, 5%, 7%, and 9%. The parameters evaluated were pH, Plastic Viscosity (PV), Yield Point (YP), and Gel Strength at 10 seconds and 10 minutes. The results showed that increasing seawater contamination reduced the quality of the drilling mud. The pH value decreased from 8.61 to 5.80, while Plastic Viscosity (PV) decreased from 12 cP to 6 cP, Yield Point (YP) from 31 lb/100 ft² to 21 lb/100 ft², Gel Strength at 10 seconds from 13 lb/100 ft² to 8 lb/100 ft², and Gel Strength at 10 minutes from 15 lb/100 ft² to 10 lb/100 ft².
Evaluasi Pengaruh Multi Segment Periode Produksi Terhadap Akurasi Forecast Decline Curve Analysis pada Sumur 7289 Lapangan Volve Maulidi Rahmawati; Fatma Fatma; Mirza Mirza
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.61118

Abstract

Daily oil production data often exhibit fluctuations and changing decline trends, which can reduce forecast accuracy when the entire production period is represented by a single decline pattern. This study evaluates the accuracy of a production-period segmentation approach in Decline Curve Analysis for Well 7289 in the Volve Field. The study used 546 daily oil production records classified as USE. Production rates were normalized using On_Stream_Hrs to obtain equivalent 24-hour rates, then divided into Fitting, Validation, and Late Decline segments and modeled using the Arps Exponential equation. Forecast performance was evaluated using RMSE, MAE, MAPE, and R². The model yielded an RMSE of 126.23 STB/day, MAE of 92.31 STB/day, MAPE of 8.57%, and R² of 0.703. The results indicate that segmentation supports a more structured evaluation of production changes. Future studies should apply statistical segmentation criteria and compare alternative decline models.