Development Design of Midland Basin Edge Using Measurements and Modeling

Abstract The Midland basin is one of the most actively developed basins in the world. The primary unconventional reservoirs, Wolfcamp and Spraberry, are targeted basin-wide by various operators. While many of the development decisions across the broader Midland basin are well studied and published, including target benches/sub-benches, well spacing, completion intensity, and frac order, there is often limited applicability of prior data and learnings to structurally isolated mini-basins within Midland basin. To better understand fracture growth, vertical communication, and development choices specific to the mini-basin, a data acquisition program was designed and executed. The data acquisition program consisted of a vertical well with open hole logging suite, geochemistry sampling, and external pressure gauges. In addition, six horizontal wells were monitored during the stimulation and production phases. Interpretation of the acquired data, coupled with integrated fracture and reservoir models, enabled rigorous testing/validation of development choices. Fracture sequence and completion intensity has been observed to refine well spacing and target benches. This paper covers the integrated workflow that coupled interpretation of data acquired through a unique data acquisition program, modeling, and sensitivity analysis to inform future development and targeted appraisal choices in the mini-basin.

Authors

Institutions

Publication Details

Published
2024-11-04
DOI
https://doi.org/10.2118/222947-ms
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development Design of Midland Basin Edge Using Measurements and Modeling

Shelby Lyons, Cucha Lopez, Raj Malpani, Holger Meier et al.
Reservoir Engineering and Simulation Methods
article

Development Design of Midland Basin Edge Using Measurements and Modeling

Shelby Lyons, Cucha Lopez, Raj Malpani, Holger Meier, Gerhard Heij, Sean Every, D. Satish Kumar, Hussain Tahir, Ajay Bhatnagar, Libby Felts, Divyanshu Bhatt
article en

Abstract

Abstract The Midland basin is one of the most actively developed basins in the world. The primary unconventional reservoirs, Wolfcamp and Spraberry, are targeted basin-wide by various operators. While many of the development decisions across the broader Midland basin are well studied and published, including target benches/sub-benches, well spacing, completion intensity, and frac order, there is often limited applicability of prior data and learnings to structurally isolated mini-basins within Midland basin. To better understand fracture growth, vertical communication, and development choices specific to the mini-basin, a data acquisition program was designed and executed. The data acquisition program consisted of a vertical well with open hole logging suite, geochemistry sampling, and external pressure gauges. In addition, six horizontal wells were monitored during the stimulation and production phases. Interpretation of the acquired data, coupled with integrated fracture and reservoir models, enabled rigorous testing/validation of development choices. Fracture sequence and completion intensity has been observed to refine well spacing and target benches. This paper covers the integrated workflow that coupled interpretation of data acquired through a unique data acquisition program, modeling, and sensitivity analysis to inform future development and targeted appraisal choices in the mini-basin.

ExxonMobil (Germany) (DE)
Openalex Percentile: Top 74%
Reservoir Engineering and Simulation Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.